EurekaMag PDF full texts Chapter 49,976

Reisel, W.D. 2003: Predicting job insecurity via moderating influence of individual powerlessness. Psychological Reports 92(3 Part 1): 820-822

Mill, C.R. 1959: Predicting juvenile delinquency. Virginia Medical Monthly 86(1): 47-49

Terasaki, P.I.; Ozawa, M. 2004: Predicting kidney graft failure by HLA antibodies: a prospective trial. American Journal of Transplantation: Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons 4(3): 438-443

De Bruijne, M.H.J.; Sijpkens, Y.W.J.; Paul, L.C.; Westendorp, R.G.J.; van Houwelingen, H.C.; Zwinderman, A.H. 2003: Predicting kidney graft failure using time-dependent renal function covariates. Journal of Clinical Epidemiology 56(5): 448-455

Keane, S.P.; Calkins, S.D. 2004: Predicting kindergarten peer social status from toddler and preschool problem behavior. Journal of Abnormal Child Psychology 32(4): 409-423

McGAUGHRAN, L.S. 1954: Predicting language behavior from object sorting. Journal of Abnormal Psychology 49(2): 183-195

Charman, T.; Baron-Cohen, S.; Swettenham, J.; Baird, G.; Drew, A.; Cox, A. 2003: Predicting language outcome in infants with autism and pervasive developmental disorder. International Journal of Language and Communication Disorders 38(3): 265-285

Milbrandt, E.B.; Clermont, G.; Martinez, J.; Kersten, A.; Rahim, M.T.; Angus, D.C. 2006: Predicting late anemia in critical illness. Critical Care 10(1): R39

Salomon, L.J.; Bernard, J.P.; Duyme, M.; Ville, Y. 2005: Predicting late-onset growth abnormalities using growth velocity between trimesters. Journal of Maternal-Fetal and Neonatal Medicine: the Official Journal of the European Association of Perinatal Medicine the Federation of Asia and Oceania Perinatal Societies the International Society of Perinatal Obstetricians 17(3): 193-197

Johnson, C.E.; Dobalian, A.; Burkhard, J.; Hedgecock, D.K.; Harman, J. 2004: Predicting lawsuits against nursing homes in the United States, 1997-2001. Health services research 39(6 Pt 1): 1713-1731

Thorsteinsson, J.R.; Martin, G.L.; Yu, C.T.; Spevack, S.; Martin, T.L.; Lee, M.S. 2007: Predicting learning ability of people with intellectual disabilities: assessment of basic learning abilities test versus caregivers' predictions. American Journal of Mental Retardation: Ajmr 112(2): 130-139

Long, D. 2003: Predicting length of service provision in school-based occupational therapy. Physical and Occupational Therapy in Pediatrics 23(4): 79-93

Omachonu, V.K.; Suthummanon, S.; Akcin, M.; Asfour, S. 2004: Predicting length of stay for Medicare patients at a teaching hospital. Health Services Management Research 17(1): 1-12

Blais, M.A.; Matthews, J.; Lipkis-Orlando, R.; Lechner, E.; Jacobo, M.; Lincoln, R.; Gulliver, C.; Herman, J.B.; Goodman, A.F. 2003: Predicting length of stay on an acute care medical psychiatric inpatient service. Administration and Policy in Mental Health 31(1): 15-29

Parsons, J.A.; Johnston, M.R.; Slutsky, A.S. 2003: Predicting length of stay out of hospital following lung resection using preoperative health status measures. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment Care and Rehabilitation 12(6): 645-654

Kraemer, K.K. 2003: Predicting levels of high risk. Minnesota health plan decreases hospital admission rates for high-risk members. Health Management Technology 24(4): 20-23

Tsuang, D.; Simpson, K.; Larson, E.B.; Peskind, E.; Kukull, W.; Bowen, J.B.; McCormick, W.; Teri, L.; Montine, T.; Thompson, M.L.; Leverenz, J.B. 2006: Predicting lewy body pathology in a community-based sample with clinical diagnosis of Alzheimer's disease. Journal of Geriatric Psychiatry and Neurology 19(4): 195-201

Yoder, P.J. 2006: Predicting lexical density growth rate in young children with autism spectrum disorders. American Journal of Speech-Language Pathology 15(4): 378-388

Lauchner, K.A.; Newman, M.; Britt, R.B. 2006: Predicting licensure success with a computerized comprehensive nursing exam: the HESi exit exam. Nurse Educator Suppl: 4s-9s

Oliver, B.R.; Dale, P.S.; Plomin, R. 2005: Predicting literacy at age 7 from preliteracy at age 4. Psychological Science 16(11): 861-865

Worbois, G.M. 1951: Predicting long-range performance of substation operators. Journal of Applied Psychology 35(1): 15-19

Kumar, S. 2003: Predicting long-term morbidity in Indian patients with ischemic stroke. Neurology India 51(2): 285-6; author reply 286

Fassler, I.R.; Amodeo, M.; Griffin, M.L.; Clay, C.M.; Ellis, M.A. 2005: Predicting long-term outcomes for women sexually abused in childhood: contribution of abuse severity versus family environment. Child Abuse and Neglect 29(3): 269-284

Fassas, A.B.T.; Van Rhee, F.; Tricot, G. 2003: Predicting long-term survival in multiple myeloma patients following autotransplants. Leukemia and Lymphoma 44(5): 749-758

Schuijt-Lucassen, N.Y.; Deeg, D.J.H. 2006: Predicting loss of mastery in older adults. Tijdschrift Voor Gerontologie en Geriatrie 37(6): 243-253

Joy, S.M. 2007: Predicting lower extremity stress fractures in young women recruited into the Marine Corps. Clinical Journal of Sport Medicine: Official Journal of the Canadian Academy of Sport Medicine 17(1): 80-81

Sagi, P.C.; Olmsted, D.W.; Atelsek, F. 1955: Predicting maintenance of membership in small groups. Journal of Abnormal Psychology 51(2): 308-311

Mito, T.; Sato, K.; Mitani, H. 2003: Predicting mandibular growth potential with cervical vertebral bone age. American Journal of Orthodontics and Dentofacial Orthopedics: Official Publication of the American Association of Orthodontists its Constituent Societies and the American Board of Orthodontics 124(2): 173-177

Rogge, R.D.; Bradbury, T.N.; Hahlweg, K.; Engl, J.; Thurmaier, F. 2006: Predicting marital distress and dissolution: refining the two-factor hypothesis. Journal of Family Psychology: Jfp: Journal of the Division of Family Psychology of the American Psychological Association 20(1): 156-159

Rauschenberger, R.H.; Sepúlveda, M.ía.S.; Wiebe, J.J.; Szabo, N.J.; Gross, T.S. 2004: Predicting maternal body burdens of organochlorine pesticides from eggs and evidence of maternal transfer in Alligator mississippiensis. Environmental Toxicology and Chemistry 23(12): 2906-2915

Fletcher, J.M. 2005: Predicting math outcomes: reading predictors and comorbidity. Journal of Learning Disabilities 38(4): 308-312

Kemmler, W.K.; Lauber, D.; Wassermann, A.; Mayhew, J.L. 2006: Predicting maximal strength in trained postmenopausal woman. Journal of Strength and Conditioning Research 20(4): 838-842

Santo, A.Saraiva.; Golding, L.A. 2003: Predicting maximum oxygen uptake from a modified 3-minute step test. Research Quarterly for Exercise and Sport 74(1): 110-115

O'Hea, E.L.; Grothe, K.B.; Bodenlos, J.S.; Boudreaux, E.D.; White, M.A.; Brantley, P.J. 2005: Predicting medical regimen adherence: the interactions of health locus of control beliefs. Journal of Health Psychology 10(5): 705-717

Bola, J.Robert.; Lehtinen, K.; Aaltonen, J.; Räkköläinen, V.; Syvälahti, E.; Lehtinen, V. 2006: Predicting medication-free treatment response in acute psychosis: cross-validation from the Finnish Need-Adapted Project. Journal of Nervous and Mental Disease 194(10): 732-739

Zurbriggen, E.L.; Becker-Blease, K. 2003: Predicting memory for childhood sexual abuse: "non-significant" findings with the potential for significant harm. Journal of Child Sexual Abuse 12(2): 113-121

Lye, T.C.; Grayson, D.A.; Creasey, H.; Piguet, O.; Bennett, H.P.; Ridley, L.J.; Kril, J.J.; Broe, G.A. 2006: Predicting memory performance in normal ageing using different measures of hippocampal size. Neuroradiology 48(2): 90-99

Lyonette, C.; Yardley, L. 2006: Predicting mental health outcomes in female working carers: a longitudinal analysis. Aging and Mental Health 10(4): 368-377

Utku, F.; Checinski, K. 2006: Predicting mental illness in soldiers: pre-deployment screening for vulnerability to post- traumatic stress disorder. Bmj 333(7578): 1123

Newton Ede, M.P.; Goh, S.-W. 2006: Predicting mental illness in soldiers: too broad a conclusion. Bmj 333(7578): 1123

Raguénez, G.; Bénard, J. 2003: Predicting metastatic potential: genetic markers. Medecine Sciences: M/S 19(11): 1050-1051

Konias, S.; Gogou, G.; Bamidis, P.D.; Vlahavas, I.; Maglaveras, N. 2005: Predicting missing values in a home care database using an adaptive uncertainty rule method. Methods of Information in Medicine 44(5): 639-646

Sun, L.; Zhao, H.; Kiselev, S.B.; McCabe, C. 2005: Predicting mixture phase equilibria and critical behavior using the SAFT-VRX approach. Journal of Physical Chemistry. B 109(18): 9047-9058

van de Port, I.G.L.; Kwakkel, G.; Schepers, V.P.M.; Lindeman, E. 2006: Predicting mobility outcome one year after stroke: a prospective cohort study. Journal of Rehabilitation Medicine 38(4): 218-223

Tsorbatzoudis, H.; Emmanouilidou, M. 2005: Predicting moral behavior in physical education classes: an application of the theory of planned behavior. Perceptual and Motor Skills 100(3 Part 2): 1055-1065

Engoren, M. 2006: Predicting mortality. Critical Care Medicine 34(2): 581-582

Jassal, S.V.; Schaubel, D.E.; Fenton, S.S.A. 2005: Predicting mortality after kidney transplantation: a clinical tool. Transplant International: Official Journal of the European Society for Organ Transplantation 18(11): 1248-1257

DeSalvo, K.B.; Fan, V.S.; McDonell, M.B.; Fihn, S.D. 2005: Predicting mortality and healthcare utilization with a single question. Health Services Research 40(4): 1234-1246

Ellery, S.; Pakrashi, T.; Paul, V.; Sack, S. 2006: Predicting mortality and rehospitalization in heart failure patients with home monitoring--the Home CARE pilot study. Clinical Research in Cardiology: Official Journal of the German Cardiac Society 95(Suppl 3): Iii29-Iii35

Goldman, N.; Turra, C.M.; Glei, D.A.; Seplaki, C.L.; Lin, Y.-H.; Weinstein, M. 2006: Predicting mortality from clinical and nonclinical biomarkers. Journals of Gerontology. Series a Biological Sciences and Medical Sciences 61(10): 1070-1074

Stallone, J.N. 2004: Predicting mortality from sepsis: is protein C a true crystal ball?. Critical Care Medicine 32(7): 1620-1621

Misset, B.; Gropper, M.A.; Wiener-Kronish, J.P. 2003: Predicting mortality in acute respiratory distress syndrome: circulatory system knows best. Critical Care Medicine 31(3): 980-981

Celli, B.R. 2006: Predicting mortality in chronic obstructive pulmonary disease: chasing the "Holy Grail". American Journal of Respiratory and Critical Care Medicine 173(12): 1298-1299

Afessa, B.; Keegan, M.T. 2007: Predicting mortality in intensive care unit survivors using a subjective scoring system. Critical Care 11(1): 109

Minicuci, N.; Maggi, S.; Noale, M.; Trabucchi, M.; Spolaore, P.; Crepaldi, G. 2003: Predicting mortality in older patients. the VELCA Study. Aging Clinical and Experimental Research 15(4): 328-335

Addala, S.; Grines, C.L.; Dixon, S.R.; Stone, G.W.; Boura, J.A.; Ochoa, A.B.; Pellizzon, G.; O'Neill, W.W.; Kahn, J.K. 2004: Predicting mortality in patients with ST-elevation myocardial infarction treated with primary percutaneous coronary intervention (PAMi risk score). American Journal of Cardiology 93(5): 629-632

Wolfe, F.; Michaud, K.; Gefeller, O.; Choi, H.K. 2003: Predicting mortality in patients with rheumatoid arthritis. Arthritis and Rheumatism 48(6): 1530-1542

Bligny, D.; Mahr, A.; Toumelin, P.Le.; Mouthon, L.; Guillevin, Lïc. 2004: Predicting mortality in systemic Wegener's granulomatosis: a survival analysis based on 93 patients. Arthritis and Rheumatism 51(1): 83-91

Cohen, E.M.; D'Silva, K.; Kreps, D.; Son, M.B.; Costenbader, K.H. 2018: Arthritis and use of hydroxychloroquine associated with a decreased risk of macrophage activation syndrome among adult patients hospitalized with systemic lupus erythematosus. Lupus 27(7): 1065-1071

Shapiro, N.I.; Talmor, D. 2006: Predicting mortality in the intensive care unit: man against machine. Critical Care Medicine 34(3): 932-933

Bakker, J. 2005: Predicting mortality: how fast can you go?. Critical Care Medicine 33(10): 2409-2410

Kolobe, T.H.A.; Bulanda, M.; Susman, L. 2004: Predicting motor outcome at preschool age for infants tested at 7, 30, 60, and 90 days after term age using the Test of Infant Motor Performance. Physical Therapy 84(12): 1144-1156

Stephan, C.N.; Henneberg, M. 2003: Predicting mouth width from inter-canine width--a 75% rule. Journal of Forensic Sciences 48(4): 725-727

Liu, T.-J.; Shiau, Y.-C.; Tsai, S.-C.; Wang, J.-J.; Ho, S.-T.; Kao, A. 2003: Predicting multidrug resistance-related protein and P-glycoprotein expression with technetium-99m tetrofosmin mammoscintigraphy. Breast 12(1): 58-62

Ivancic, P.C.; Panjabi, M.M.; Tominaga, Y.; Malcolmson, G.F. 2006: Predicting multiplanar cervical spine injury due to head-turned rear impacts using IV-NIC. Traffic Injury Prevention 7(3): 264-275

Fuchs, M.; Fröehlich, M.; Hentschel, B.; Stuermer, I.W.; Kruse, E.; Knauft, D. 2007: Predicting mutational change in the speaking voice of boys. Journal of Voice: Official Journal of the Voice Foundation 21(2): 169-178

Kiss, I.án.Z.; Zhai, Y.; Hudson, J.L. 2005: Predicting mutual entrainment of oscillators with experiment-based phase models. Physical Review Letters 94(24): 248301

Canton, L.; Pisent, G.; Svenne, J.P.; Amos, K.; Karataglidis, S. 2006: Predicting narrow states in the spectrum of a nucleus beyond the proton drip line. Physical Review Letters 96(7): 072502

Lin, B.; Kashefipour, S.M.; Falconer, R.A. 2003: Predicting near-shore coliform bacteria concentrations using ANNS. Water Science and Technology: a Journal of the International Association on Water Pollution Research 48(10): 225-232

Dennery, P.A. 2003: Predicting neonatal brain injury: are we there yet?. Archives of Pediatrics and Adolescent Medicine 157(12): 1151-1152

Salokorpi, T.; Rajantie, I.; Kivikko, I.; Haajanen, R.; Rajantie, J. 2001: Predicting neurological disorders in infants with extremely low birth weight using the movement assessment of infants. Pediatric Physical Therapy: the Official Publication of the Section on Pediatrics of the American Physical Therapy Association 13(3): 106-109

David, S.V.; Gallant, J.L. 2005: Predicting neuronal responses during natural vision. Network 16(2-3): 239-260

Brenner, T.; Freier, M.C.; Holshouser, B.A.; Burley, T.; Ashwal, S. 2003: Predicting neuropsychologic outcome after traumatic brain injury in children. Pediatric Neurology 28(2): 104-114

Von Appen, J.ör.; Dronskowski, R. 2005: Predicting new ferromagnetic nitrides from electronic structure theory: IrFe3N and RhFe3N. Angewandte Chemie 44(8): 1205-1210

Aoto, Y.A.; Ornellas, F.R. 2007: Predicting new molecular species of potential interest to atmospheric chemistry: the isomers HSBr and HBrS. Journal of Physical Chemistry. a 111(3): 521-525

Hara, M.; Saikawa, T.; Tsunematsu, Y.; Sakata, T.; Yoshimatsu, H. 2005: Predicting no-reflow based on angiographic features of lesions in patients with acute myocardial infarction. Journal of Atherosclerosis and Thrombosis 12(6): 315-321

Samkange-Zeeb, F.; Altenhöner, T.; Berg, G.; Schott, T. 2006: Predicting non-return to work in patients attending cardiac rehabilitation. International Journal of Rehabilitation Research. Internationale Zeitschrift für Rehabilitationsforschung. Revue Internationale de Recherches de Readaptation 29(1): 43-49

Davis, B.J. 2004: Predicting nonepileptic seizures utilizing seizure frequency, EEG, and response to medication. European Neurology 51(3): 153-156

Thompson, R.B. 2006: Predicting nonpolymeric materials structure with real-space self-consistent field theory. Physical Review. E Statistical Nonlinear and Soft Matter Physics 73(2 Part 1): 020502

Gietema, H.A.; Vuylsteke, R.J.C.L.M.; van Diest, P.J.; Meijer, S.; van Leeuwen, P.A.M. 2003: Predicting nonsentinel lymph node involvement in stage I/II melanoma. Annals of Surgical Oncology 10(8): 993; Author Reply 993-4

Specht, M.C.; Kattan, M.W.; Gonen, M.; Fey, J.; Van Zee, K.J. 2005: Predicting nonsentinel node status after positive sentinel lymph biopsy for breast cancer: clinicians versus nomogram. Annals of Surgical Oncology 12(8): 654-659

El-Masri, M.M.; Hammad, T.A.; Fox-Wasylyshyn, S.M. 2005: Predicting nosocomial bloodstream infections using surrogate markers of injury severity: clinical and methodological perspectives. Nursing Research 54(4): 273-279

Tzeng, H.-M.; Hsieh, J.-G.; Lin, Y.-L. 2004: Predicting nurses' intention to quit with a support vector machine: a new approach to set up an early warning mechanism in human resource management. Computers Informatics Nursing: Cin 22(4): 232-242

Apker, J.; Ford, W.S.; Fox, D.H. 2003: Predicting nurses' organizational and professional identification: the effect of nursing roles, professional autonomy, and supportive communication. Nursing Economic\$ 21(5): 226-32 207

Degenholtz, H.B.; Kane, R.A.; Kane, R.L.; Bershadsky, B.; Kling, K.C. 2006: Predicting nursing facility residents' quality of life using external indicators. Health services research 41(2): 335-356

Banaszak-Holl, J.; Fendrick, A.Mark.; Foster, N.L.; Herzog, A.Regula.; Kabeto, M.U.; Kent, D.M.; Straus, W.L.; Langa, K.M. 2004: Predicting nursing home admission: estimates from a 7-year follow-up of a nationally representative sample of older Americans. Alzheimer Disease and Associated Disorders 18(2): 83-89

Colleau, J.J.; Le Bihan-Duval, E. 2000: Predicting observed and latent responses to BLUP selection involving logistic variates. Genetics Selection Evolution: Gse 32(3): 265-287

Krajewski, H.T.; Goffin, R.D. 2005: Predicting occupational coping responses: the interactive effect of gender and work stressor context. Journal of Occupational Health Psychology 10(1): 44-53

Preminger, F.; Weiss, P.L.; Weintraub, N. 2004: Predicting occupational performance: handwriting versus keyboarding. American Journal of Occupational Therapy: Official Publication of the American Occupational Therapy Association 58(2): 193-201

Seiki, Y.; Sugo, N.; Kuroki, T.; Harada, N.; Yokota, K.; Miyazaki, C.; Shibata, I.; Tachiki, K. 2002: Predicting of the period of recurrent for a post-operative glioblastoma after radiochemotherapy using 201TlCl SPECT. Kaku Igaku. Japanese Journal of Nuclear Medicine 39(4): 519-525

Stiggelbout, M.; Hopman-Rock, M.; Crone, M.; Lechner, L.; van Mechelen, W. 2006: Predicting older adults' maintenance in exercise participation using an integrated social psychological model. Health Education Research 21(1): 1-14

Hakamies-Blomqvist, L.; Wiklund, M.; Henriksson, P. 2005: Predicting older drivers' accident involvement--Smeed's law revisited. Accident; Analysis and Prevention 37(4): 675-680

Poon, W.S.; Zhu, X.L.; Ng, S.C.P.; Wong, G.K.C. 2005: Predicting one year clinical outcome in traumatic brain injury (TBI) at the beginning of rehabilitation. Acta Neurochirurgica. Suppl 93: 207-208

Dietz, H.P.; Lanzarone, V.; Simpson, J.M. 2006: Predicting operative delivery. Ultrasound in Obstetrics and Gynecology: the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology 27(4): 409-415

Himebaugh, N.L.; Thibos, L.N.; Bradley, A.; Wilson, G.; Begley, C.G. 2002: Predicting optical effects of tear film break up on retinal image quality using the Shack-Hartmann aberrometer and computational optical modeling. Advances in Experimental Medicine and Biology 506(Part B): 1141-1147

Chou, L.-W.; Ding, J.; Wexler, A.S.; Binder-Macleod, S.A. 2005: Predicting optimal electrical stimulation for repetitive human muscle activation. Journal of Electromyography and Kinesiology: Official Journal of the International Society of Electrophysiological Kinesiology 15(3): 300-309

Van de Waterbeemd, H.; Jones, B.C. 2003: Predicting oral absorption and bioavailability. Progress in Medicinal Chemistry 41: 1-59

Nedir, R.; Bischof, M.; Szmukler-Moncler, S.; Bernard, J.-P.; Samson, J. 2004: Predicting osseointegration by means of implant primary stability. Clinical Oral Implants Research 15(5): 520-528

Tam, S.-F.; Cheing, G.L.Y.; Hui-Chan, C.W.Y. 2004: Predicting osteoarthritic knee rehabilitation outcome by using a prediction model developed by data mining techniques. International Journal of Rehabilitation Research. Internationale Zeitschrift für Rehabilitationsforschung. Revue Internationale de Recherches de Readaptation 27(1): 65-69

Kell, M.R.; Power, K.; Winter, D.C.; Power, C.; Shields, C.; Kirwan, W.O.; Redmond, H.P. 2003: Predicting outcome after appendicectomy. Irish Journal of Medical Science 172(2): 63-65

Kramer-Johansen, J.; Sunde, K.; Steen, P.Andreas. 2005: Predicting outcome after cardiac arrest: two caveats. Resuscitation 66(1): 108-9; author reply 109-10

Suman, A.; Barnes, D.S.; Zein, N.N.; Levinthal, G.N.; Connor, J.T.; Carey, W.D. 2004: Predicting outcome after cardiac surgery in patients with cirrhosis: a comparison of Child-Pugh and MELD scores. Clinical Gastroenterology and Hepatology: the Official Clinical Practice Journal of the American Gastroenterological Association 2(8): 719-723

Chawda, M.N.; Hildebrand, F.; Pape, H.C.; Giannoudis, P.V. 2004: Predicting outcome after multiple trauma: which scoring system?. Injury 35(4): 347-358

Kim, S.; Wei, J.P.; Braveman, J.M.; Brams, D.M. 2004: Predicting outcome and directing therapy for papillary thyroid carcinoma. Archives of Surgery 139(4): 390-394; Discussion: 393-394

Bredel, M. 2003: Predicting outcome and tailoring treatment in high-grade gliomas. Lancet. Oncology 4(5): 269-270

Montemurro, F.; Rondón, G.; Munsell, M.; Smith, T.L.; Donato, M.L.; Gajewski, J.L.; Rahman, Z.U.; Buzdar, A.U.; Champlin, R.E.; Ueno, N.T. 2003: Predicting outcome based on Swenerton score in patients with metastatic breast cancer undergoing high-dose chemotherapy and autologous hematopoietic stem cell transplantation: implications for patient selection. Biology of blood and marrow transplantation: journal of the American Society for Blood and Marrow Transplantation 9(5): 330-340

Baskin, J.Z.; Panagopoulos, G.; Parks, C.; Komisar, A. 2005: Predicting outcome in aged and severely ill patients with prolonged respiratory failure. Annals of Otology Rhinology and Laryngology 114(12): 902-906

Whalen, M.J. 2003: Predicting outcome in childhood bacterial meningitis: are pneumococci stronger than glutamate?. Pediatric Critical Care Medicine: a Journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 4(2): 260-261

Oh, W.K. 2003: Predicting outcome in localized prostate cancer: how far have we come?. Cancer Investigation 21(3): 487-488

Werba, B.E.; Eyberg, S.M.; Boggs, S.R.; Algina, J. 2006: Predicting outcome in parent-child interaction therapy: success and attrition. Behavior Modification 30(5): 618-646

Plubrukarn, R.; Tamsamran, S. 2003: Predicting outcome in pediatric near-drowning. Journal of the Medical Association of Thailand 86(Suppl 3): S501-S509

Boyle, J.R.; Gibbs, P.J.; King, D.; Shearman, C.P.; Raptis, S.; Phillips, M.J. 2003: Predicting outcome in ruptured abdominal aortic aneurysm: a prospective study of 100 consecutive cases. European Journal of Vascular and Endovascular Surgery: the Official Journal of the European Society for Vascular Surgery 26(6): 607-611

Travis, S.P.L. 2004: Predicting outcome in severe ulcerative colitis. Digestive and Liver Disease: Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 36(7): 448-449

Jyoti, R.; O'Neil, R.; Hurrion, E. 2006: Predicting outcome in term neonates with hypoxic-ischaemic encephalopathy using simplified MR criteria. Pediatric Radiology 36(1): 38-42

Tham, T.C.K.; James, C.; Kelly, M. 2006: Predicting outcome of acute non-variceal upper gastrointestinal haemorrhage without endoscopy using the clinical Rockall Score. Postgraduate Medical Journal 82(973): 757-759

Hung, P.D.; Sterling, R.K. 2003: Predicting outcome of critically ill patients with cirrhosis admitted to the intensive care unit: who's keeping score?. Journal of Clinical Gastroenterology 37(3): 203-205

Dlugos, D.J.; Buono, R.J. 2004: Predicting outcome of initial treatment with carbamazepine in childhood focal epilepsy. Pediatric Neurology 30(5): 311-315

Henkens, I.R.; van Straten, A.; Schalij, M.J.; Hazekamp, M.G.; de Roos, A.; van der Wall, E.E.; Vliegen, H.W. 2007: Predicting outcome of pulmonary valve replacement in adult tetralogy of Fallot patients. Annals of Thoracic Surgery 83(3): 907-911

Kagaya, H.; Takahashi, H.; Sugawara, K.; Dobashi, M.; Kiyokawa, N.; Ebina, H. 2005: Predicting outcomes after hip fracture repair. American Journal of Physical Medicine and Rehabilitation 84(1): 46-51

Kammula, U.S. 2006: Predicting outcomes after percutaneous ethanol injection for small hepatocellular cancer. Cancer Journal 12(3): 175-177

Marsden, P.A. 2003: Predicting outcomes after renal transplantation--new tools and old tools. New England Journal of Medicine 349(2): 182-184

Ussetti, P.; Laporta, R. 2004: Predicting outcomes in chronic obstructive pulmonary disease. New England Journal of Medicine 350(22): 2308

Lane, B.R.; Kattan, M.W. 2005: Predicting outcomes in renal cell carcinoma. Current Opinion in Urology 15(5): 289-297

Kim, D.H.; Jung, H.D.; Kwack, D.H.; Lee, N.Y.; Sohn, S.K.; Baek, J.H.; Kim, J.G.; Suh, J.S.; Lee, K.B.; Shin, I.H. 2006: Predicting outcomes of HLA-identical allogeneic stem cell transplants from variable number of tandem repeat disparity between donors and recipients. Haematologica 91(1): 71-77

Phillips, K.T.; Street, W.Nick. 2005: Predicting outcomes of hospitalization for heart failure using logistic regression and knowledge discovery methods. AMIA .. Annual Symposium Proceedings. AMIA Symposium 2005: 1080

Tong, H.C.; Williams, J.C.; Haig, A.J.; Geisser, M.E.; Chiodo, A. 2003: Predicting outcomes of transforaminal epidural injections for sciatica. Spine Journal: Official Journal of the North American Spine Society 3(6): 430-434

Petersohn, J.D. 2004: Predicting outcomes of transforaminal injections for sciatica. spine journal: official journal of the North American Spine Society 4(5): 605-6; author reply 606-7

Arceci, R.J. 2003: Predicting outcomes--not as easy as it looks. Journal of Pediatric Hematology/Oncology 25(5): 347

Foubister, V. 2005: Predicting ovarian tumor response. Drug Discovery Today 10(6): 380-381

Carter, R.; Holiday, D.B.; Stocks, J.; Grothues, C.; Tiep, B. 2003: Predicting oxygen uptake for men and women with moderate to severe chronic obstructive pulmonary disease. Archives of Physical Medicine and Rehabilitation 84(8): 1158-1164

Brandon, L.J.; Ross, D.A.; Sanford, J.A.; Lloyd, A. 2004: Predicting oxygen uptake in older adults using lower-limb accelerometer measures. Journal of Rehabilitation Research and Development 41(6a): 861-870

Xing, L.; Glen, R.C.; Clark, R.D. 2003: Predicting pK(a) by molecular tree structured fingerprints and PLS. Journal of Chemical Information and Computer Sciences 43(3): 870-879

Elson, D.W.; Brenkel, I.J. 2006: Predicting pain after total knee arthroplasty. Journal of Arthroplasty 21(7): 1047-1053

Huffman, J.C.; Pollack, M.H. 2003: Predicting panic disorder among patients with chest pain: an analysis of the literature. Psychosomatics 44(3): 222-236

Gellatly, J.; McVittie, C.; Tiliopoulos, N. 2005: Predicting parents' decisions on MMR immunisation: a mixed method investigation. Family Practice 22(6): 658-662

Derr, J.; Silver, A.W. 1962: Predicting participation and behavior in group therapy from test protocols. Journal of Clinical Psychology 18: 322-325

Simpkins, S.D.; Ripke, M.; Huston, A.C.; Eccles, J.S. 2005: Predicting participation and outcomes in out-of-school activities: similarities and differences across social ecologies. New Directions for Youth Development 2005(105): 51-69 10-1

Sullivan, K.T.; Pasch, L.A.; Cornelius, T.; Cirigliano, E. 2004: Predicting participation in premarital prevention programs: the health belief model and social norms. Family Process 43(2): 175-193

Nelson, D.B.; Sammel, M.D.; Freeman, E.W.; Liu, L.; Langan, E.; Gracia, C.R. 2004: Predicting participation in prospective studies of ovarian aging. Menopause 11(5): 543-548

Lester, D. 2005: Predicting past suicidality using the Manic-Depressiveness Scale. Psychological Reports 96(3 Part 2): 988

Kilpatrick, A.M.; Daszak, P.; Goodman, S.J.; Rogg, H.; Kramer, L.D.; Cedeño, V.; Cunningham, A.A. 2006: Predicting pathogen introduction: West Nile virus spread to Galáipagos. Conservation Biology: the Journal of the Society for Conservation Biology 20(4): 1224-1231

Gardiner, K. 2003: Predicting pathway perturbations in down syndrome. Journal of Neural Transmission. Supplementum 67: 21-37

Mendez-Tellez, P.A.; Dorman, T. 2005: Predicting patient outcomes, futility, and resource utilization in the intensive care unit: the role of severity scoring systems and general outcome prediction models. Mayo Clinic Proceedings 80(2): 161-163

Yurk, R.A.; Diette, G.B.; Skinner, E.A.; Dominici, F.; Clark, R.D.; Steinwachs, D.M.; Wu, A.W. 2004: Predicting patient-reported asthma outcomes for adults in managed care. American Journal of Managed Care 10(5): 321-328

Chagpar, A.B.; Scoggins, C.R.; Martin, R.C.G.; Cook, E.F.; McCurry, T.; Mizuguchi, N.; Paris, K.J.; Carlson, D.J.; Laidley, A.L.; El-Eid, S.E.; McGlothin, T.Q.; McMasters, K.M. 2007: Predicting patients at low probability of requiring postmastectomy radiation therapy. Annals of Surgical Oncology 14(2): 670-677

Mindess, H. 1953: Predicting patients' responses to psychotherapy: a preliminary study designed to investigate the validity of the Rorschach prognostic rating scale. Journal of Projective Techniques 17(3): 327-334

Price, S.J.; Jena, R.; Burnet, N.G.; Carpenter, T.A.; Pickard, J.D.; Gillard, J.H. 2007: Predicting patterns of glioma recurrence using diffusion tensor imaging. European Radiology 17(7): 1675-1684

Lelas, J.L.; Merriman, G.J.; Riley, P.O.; Kerrigan, D.C. 2003: Predicting peak kinematic and kinetic parameters from gait speed. Gait and Posture 17(2): 106-112

Arena, R.; Humphrey, R.; Peberdy, M.A.; Madigan, M. 2003: Predicting peak oxygen consumption during a conservative ramping protocol: implications for the heart failure population. Journal of Cardiopulmonary Rehabilitation 23(3): 183-189

Ingle, L.; Goode, K.; Rigby, A.S.R.; Cleland, J.G.F.; Clark, A.L. 2006: Predicting peak oxygen uptake from 6-min walk test performance in male patients with left ventricular systolic dysfunction. European Journal of Heart Failure 8(2): 198-202

Walczak, S.; Scorpio, R.J. 2000: Predicting pediatric length of stay and acuity of care in the first ten minutes with artificial neural networks. Pediatric Critical Care Medicine: a Journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 1(1): 42-47

Zhao, Y.H.; Abraham, M.H.; Ibrahim, A.; Fish, P.V.; Cole, S.; Lewis, M.L.; de Groot, M.J.; Reynolds, D.P. 2007: Predicting penetration across the blood-brain barrier from simple descriptors and fragmentation schemes. Journal of Chemical Information and Modeling 47(1): 170-175

Eibner, F.; Barth, J.ür.; Bengel, J.ür. 2006: Predicting perceived vulnerability for breast cancer among women with an average breast cancer risk. British Journal of Health Psychology 11(Part 4): 607-621

Tyc, V.L.; Lensing, S.; Rai, S.N.; Klosky, J.L.; Stewart, D.B.; Gattuso, J. 2006: Predicting perceived vulnerability to tobacco-related health risks and future intentions to use tobacco among pediatric cancer survivors. Patient Education and Counseling 62(2): 198-204

Karlsdottir, R.; Stefansson, T. 2003: Predicting performance in primary school subjects. Perceptual and Motor Skills 97(3 Part 2): 1058-1060

Hodges, N.J.; Kerr, T.; Starkes, J.L.; Weir, P.L.; Nananidou, A. 2004: Predicting performance times from deliberate practice hours for triathletes and swimmers: what, when, and where is practice important?. Journal of Experimental Psychology. Applied 10(4): 219-237

Kertai, M.D.; Klein, J.; Bax, J.J.; Poldermans, D. 2005: Predicting perioperative cardiac risk. Progress in Cardiovascular Diseases 47(4): 240-257

Jones, G.T.; Johnson, R.E.; Wiles, N.J.; Chaddock, C.; Potter, R.G.; Roberts, C.; Symmons, D.P.M.; Macfarlane, G.J. 2006: Predicting persistent disabling low back pain in general practice: a prospective cohort study. British Journal of General Practice: the Journal of the Royal College of General Practitioners 56(526): 334-341

Naessens, J.M.; Baird, M.A.; Van Houten, H.K.; Vanness, D.J.; Campbell, C.R. 2005: Predicting persistently high primary care use. Annals of Family Medicine 3(4): 324-330

Jones, H.M.; Parrott, N.; Ohlenbusch, G.; Lavé, T. 2006: Predicting pharmacokinetic food effects using biorelevant solubility media and physiologically based modelling. Clinical Pharmacokinetics 45(12): 1213-1226

de Bruijn, C.; Denys, D. 2007: Predicting pharmacotherapy outcome from a retrospective chart study?. Journal of Clinical Psychiatry 68(1): 167; Author Reply 167-8

Zhao, Y.; Ash, A.S.; Ellis, R.P.; Ayanian, J.Z.; Pope, G.C.; Bowen, B.; Weyuker, L. 2005: Predicting pharmacy costs and other medical costs using diagnoses and drug claims. Medical Care 43(1): 34-43

Sthal, F.; Galliou, S.; Gufflet, N.; Mourey, M. 2005: Predicting phase noise in crystal oscillators. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control 52(1): 27-30

Langoju, R.; Patil, A.; Rastogi, P. 2006: Predicting phase steps in phase-shifting interferometry in the presence of noise and harmonics. Applied Optics 45(24): 6106-6112

Tokuda, I.; Kurths, J.ür.; Allaria, E.; Meucci, R.; Boccaletti, S.; Arecchi, F.T. 2004: Predicting phase synchronization in a spiking chaotic CO2 laser. Physical Review. e Statistical Nonlinear and Soft Matter Physics 70(3 Part 2): 035204

King, O.D.; Lee, J.C.; Dudley, Aée.M.; Janse, D.M.; Church, G.M.; Roth, F.P. 2003: Predicting phenotype from patterns of annotation. Bioinformatics 19 Suppl. 1: I183-I189

Guinn, B.; Vincent, V.; Jorgensen, L.; Dugas, D.; Semper, T. 2007: Predicting physical activity among low-income Mexican American women: application of the theory of planned behavior. American journal of health behavior 31(2): 115-122

Wilson, P.M.; Blanchard, C.M.; Nehl, E.; Baker, F. 2006: Predicting physical activity and outcome expectations in cancer survivors: an application of Self-Determination Theory. Psycho-Oncology 15(7): 567-578

Rhodes, R.E.; Macdonald, H.M.; McKay, H.A. 2006: Predicting physical activity intention and behaviour among children in a longitudinal sample. Social Science and Medicine 62(12): 3146-3156

Deetlefs, M.; Seddon, K.R.; Shara, M. 2006: Predicting physical properties of ionic liquids. Physical Chemistry Chemical Physics: Pccp 8(5): 642-649

Bernazzani, L.; Duce, C.; Micheli, A.; Mollica, V.; Sperduti, A.; Starita, A.; Tiné, M.R. 2006: Predicting physical-chemical properties of compounds from molecular structures by recursive neural networks. Journal of Chemical Information and Modeling 46(5): 2030-2042

Maue, S.K.; Segal, R.; Kimberlin, C.L.; Lipowski, E.E. 2004: Predicting physician guideline compliance: an assessment of motivators and perceived barriers. American Journal of Managed Care 10(6): 383-391

Huang, J.; Yu, G.; Yang, X.; Zhang, Z.-l. 2004: Predicting physico-chemical properties of polychlorinated diphenyl ethers (PCDEs): potential persistent organic pollutants (POPs). Journal of Environmental Sciences 16(2): 204-207

Kratochwil, N.A.; Huber, W.; Müller, F.; Kansy, M.; Gerber, P.R. 2004: Predicting plasma protein binding of drugs--revisited. Current Opinion in Drug Discovery and Development 7(4): 507-512

Menon, A.; Bhandarkar, S. 2004: Predicting polymorphic transformation curves using a logistic equation. International Journal of Pharmaceutics 286(1-2): 125-129

Tweed, W.A. 2000: Predicting poor neurological outcome after cardiac resuscitation. Annals of Saudi Medicine 20(2): 132-134

Menéndez, R.; Torres, A. 2005: Predicting poor outcome of pneumonia. Archivos de Bronconeumologia 41(9): 475-477

Nyamathi, A.M.; Stein, J.A.; Dixon, E.; Longshore, D.; Galaif, E. 2003: Predicting positive attitudes about quitting drug and alcohol use among homeless women. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors 17(1): 32-41

Freter, S.H.; Dunbar, M.J.; MacLeod, H.; Morrison, M.; MacKnight, C.; Rockwood, K. 2005: Predicting post-operative delirium in elective orthopaedic patients: the Delirium Elderly At-Risk (DEAR) instrument. Age and Ageing 34(2): 169-171

Lou, M.-F.; Yu, P.-J.; Huang, G.-S.; Dai, Y.-T. 2004: Predicting post-surgical cognitive disturbance in older Taiwanese patients. International Journal of Nursing Studies 41(1): 29-41

Walters, J.T.R.; Bisson, J.I.; Shepherd, J.P. 2007: Predicting post-traumatic stress disorder: validation of the Trauma Screening Questionnaire in victims of assault. Psychological Medicine 37(1): 143-150

Murphy, P.N.; Bentall, R.P.; Ryley, L.D.; Ralley, R. 2003: Predicting postdischarge opiate abstinence from admission measures of motivation and confidence. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors 17(2): 167-170

Bender, L.E.; Spalton, D.J.; Meacock, W.; Jose, R.; Boyce, J. 2003: Predicting posterior capsule opacification: value of early retroillumination imaging. Journal of Cataract and Refractive Surgery 29(3): 526-531

Gray, A.; Kehlet, H.; Bonnet, F.; Rawal, N. 2005: Predicting postoperative analgesia outcomes: NNT league tables or procedure-specific evidence?. British Journal of Anaesthesia 94(6): 710-714

Preussner, P.-R.; Wahl, J.; Weitzel, D.; Berthold, S.; Kriechbaum, K.; Findl, O. 2004: Predicting postoperative intraocular lens position and refraction. Journal of Cataract and Refractive Surgery 30(10): 2077-2083

Markus, P.M.; Martell, J.; Leister, I.; Horstmann, O.; Brinker, J.; Becker, H. 2005: Predicting postoperative morbidity by clinical assessment. British Journal of Surgery 92(1): 101-106

Slim, K.; Panis, Y.; Alves, A.; Kwiatkowski, F.; Mathieu, P.; Mantion, G. 2006: Predicting postoperative mortality in patients undergoing colorectal surgery. World Journal of Surgery 30(1): 100-106

Williams, B.A.; Sugimura, H.; Endo, C.; Nichols, F.C.; Cassivi, S.D.; Allen, M.S.; Pairolero, P.C.; Deschamps, C.; Yang, P. 2006: Predicting postrecurrence survival among completely resected nonsmall-cell lung cancer patients. Annals of Thoracic Surgery 81(3): 1021-1027

Perkins, J.D. 2006: Predicting posttransplantation infection risk with gene polymorphisms. Liver Transplantation: Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society 12(3): 488-489

Bellizzi, K.M.; Blank, T.O. 2006: Predicting posttraumatic growth in breast cancer survivors. Health Psychology: Official Journal of the Division of Health Psychology American Psychological Association 25(1): 47-56

Bryant, R.A. 2005: Predicting posttraumatic stress disorder from acute reactions. Journal of Trauma and Dissociation: the Official Journal of the International Society for the Study of Dissociation 6(2): 5-15

Thorp, T.R.; Mahrer, A.R. 1959: Predicting potential intelligence. Journal of Clinical Psychology 15(3): 286-288

Coeckelbergh, T.R.M.; Brouwer, W.H.; Cornelissen, F.W.; Kooijman, A.C. 2004: Predicting practical fitness to drive in drivers with visual field defects caused by ocular pathology. Human Factors 46(4): 748-760

Cockey, C.Davis. 2005: Predicting pre-eclampsia. Substance in urine signals likelihood of high-risk development. Awhonn Lifelines 9(1): 25-34

Zayas, V.; Shoda, Y. 2007: Predicting preferences for dating partners from past experiences of psychological abuse: identifying the psychological ingredients of situations. Personality and Social Psychology Bulletin 33(1): 123-138

Sevdalis, N.; Harvey, N. 2006: Predicting preferences: a neglected aspect of shared decision-making. Health Expectations: An International Journal of Public Participation in Health Care and Health Policy 9(3): 245-251

Song, J.; Zhang, S.; Qiao, Y.; Luo, Z.; Zhang, J.; Zeng, Y.; Wang, L. 2004: Predicting pregnancy-induced hypertension with dynamic hemodynamics. European Journal of Obstetrics Gynecology and Reproductive Biology 117(2): 162-168

Madigan, V. 2006: Predicting prehospital care students' first-year academic performance. Prehospital Emergency Care: Official Journal of the National Association of Ems Physicians and the National Association of State Ems Directors 10(1): 81-88

Wolffsohn, J.S.; Eperjesi, F. 2004: Predicting prescribed magnification. Ophthalmic and Physiological Optics: the Journal of the British College of Ophthalmic Opticians 24(4): 334-338

Wilson-Davis, K.; Stevenson, W.G.; McGavock, H. 1997: Predicting prescribing costs in general practice using practice demography. Pharmacoepidemiology and Drug Safety 6(3): 189-196

Santtila, P.; Runtti, M.; Mokros, A. 2004: Predicting presence of offender's criminal record from antisocial lifestyle indicators of homicide victims. Journal of Interpersonal Violence 19(5): 541-557

Waters, N. 2003: Predicting pressure ulcer risk. Nursing Times 99(13): 63-65

Kwong, E.; Pang, S.; Wong, T.; Ho, J.; Shao-ling, X.; Li-jun, T. 2005: Predicting pressure ulcer risk with the modified Braden, Braden, and Norton scales in acute care hospitals in Mainland China. Applied Nursing Research: Anr 18(2): 122-128

Jalali, R.; Rezaie, M. 2005: Predicting pressure ulcer risk: comparing the predictive validity of 4 scales. Advances in Skin and Wound Care 18(2): 92-97

Schoonhoven, L.; Grobbee, D.E.; Bousema, M.T.; Buskens, E. 2005: Predicting pressure ulcers: cases missed using a new clinical prediction rule. Journal of Advanced Nursing 49(1): 16-22

Panton, J.H. 1958: Predicting prison adjustment with the Minnesota multiphasic personality inventory. Journal of Clinical Psychology 14(3): 308-312

Borders, A.; Earleywine, M.; Huey, S.J. 2004: Predicting problem behaviors with multiple expectancies: expanding expectancy-value theory. Adolescence 39(155): 539-550

De Sutter, A.; Lemiengre, M.; Van Maele, G.; van Driel, M.; De Meyere, M.; Christiaens, T.; De Maeseneer, J. 2006: Predicting prognosis and effect of antibiotic treatment in rhinosinusitis. Annals of Family Medicine 4(6): 486-493

Stone, P.C.; Lund, S. 2007: Predicting prognosis in patients with advanced cancer. Annals of Oncology: Official Journal of the European Society for Medical Oncology 18(6): 971-976

Ebell, M.H. 2006: Predicting prognosis in patients with end-stage liver disease. American Family Physician 74(10): 1762-1763

Daly, C.A.; De Stavola, B.; Sendon, J.L.L.; Tavazzi, L.; Boersma, E.; Clemens, F.; Danchin, N.; Delahaye, F.; Gitt, A.; Julian, D.; Mulcahy, D.; Ruzyllo, W.; Thygesen, K.; Verheugt, F.; Fox, K.M. 2006: Predicting prognosis in stable angina--results from the Euro heart survey of stable angina: prospective observational study. Bmj 332(7536): 262-267

Freeman, A.J.; Law, M.G.; Kaldor, J.M.; Dore, G.J. 2003: Predicting progression to cirrhosis in chronic hepatitis C virus infection. Journal of Viral Hepatitis 10(4): 285-293

Collier, J.D.; Woodall, T.; Wight, D.G.D.; Shore, S.; Gimson, A.E.; Alexander, G.J.M. 2005: Predicting progressive hepatic fibrosis stage on subsequent liver biopsy in chronic hepatitis C virus infection. Journal of Viral Hepatitis 12(1): 74-80

Gaiser, R.R.; McHugh, M.; Cheek, T.G.; Gutsche, B.B. 2005: Predicting prolonged fetal heart rate deceleration following intrathecal fentanyl/bupivacaine. International Journal of Obstetric Anesthesia 14(3): 208-211

Nelson, P.S. 2004: Predicting prostate cancer behavior using transcript profiles. Journal of Urology 172(5 Part 2): S28

Portalez, D.; Malavaud, B.; Herigault, G.; Lhez, J.M.; Elman, B.; Jonca, F.; Besse, J.; Pradere, M. 2004: Predicting prostate cancer with dynamic endorectal coil MR and proton spectroscopic MR imaging. Journal de Radiologie 85(12 Part 1): 1999-2004

Ou, Y.-C.; Chen, J.-T.; Yang, C.-R.; Cheng, C.-L.; Ho, H.-C.; Ko, J.-L.; Hsieh, Y.-S. 2002: Predicting prostate specific antigen failure after radical retropubic prostatectomy for T1c prostate cancer. Japanese Journal of Clinical Oncology 32(12): 536-542

Zaki, M.J.; Nadimpally, V.; Bardhan, D.; Bystroff, C. 2004: Predicting protein folding pathways. Bioinformatics 20(Suppl 1): I386-I393

Letovsky, S.; Kasif, S. 2003: Predicting protein function from protein/protein interaction data: a probabilistic approach. Bioinformatics 19(Suppl 1): I197-I204

Watson, J.D.; Laskowski, R.A.; Thornton, J.M. 2005: Predicting protein function from sequence and structural data. Current Opinion in Structural Biology 15(3): 275-284

Wang, L.-H.; Liu, J.; Li, Y.-F.; Zhou, H.-B. 2004: Predicting protein secondary structure by a support vector machine based on a new coding scheme. Genome Informatics. International Conference on Genome Informatics 15(2): 181-190

Chen, H.; Gu, F.; Liu, F. 2005: Predicting protein secondary structure using continuous wavelet transform and Chou-Fasman method. Conference Proceedings: . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2005: 2603-2606

Dönnes, P.; Höglund, A. 2004: Predicting protein subcellular localization: past, present, and future. Genomics Proteomics and Bioinformatics 2(4): 209-215

Deng, W.; Breneman, C.; Embrechts, M.J. 2004: Predicting protein-ligand binding affinities using novel geometrical descriptors and machine-learning methods. Journal of Chemical Information and Computer Sciences 44(2): 699-703

Marsden, P.M.; Puvanendrampillai, D.; Mitchell, J.B.O.; Glen, R.C. 2004: Predicting protein-ligand binding affinities: a low scoring game?. Organic and Biomolecular Chemistry 2(22): 3267-3273

Reiss, D.J.; Schwikowski, B. 2004: Predicting protein-peptide interactions via a network-based motif sampler. Bioinformatics 20(Suppl 1): I274-I282

Senore, C.; Segnan, N.; Bonelli, L.; Sciallero, S.; Pennazio, M.; Angioli, D.; Crosta, C.; Gasperoni, S.; Malfitana, G. 2004: Predicting proximal advanced neoplasms at screening sigmoidoscopy. Diseases of the Colon and Rectum 47(8): 1331-1340

Keyak, J.H.; Kaneko, T.S.; Tehranzadeh, J.; Skinner, H.B. 2005: Predicting proximal femoral strength using structural engineering models. Clinical Orthopaedics and Related Research 437: 219-228

Freud, S.L.; Karson, S. 1956: Predicting psychiatric diagnoses with the MMPi. Journal of Clinical Psychology 12(4): 376-379

Morrison, R.; O'Connor, R.C. 2005: Predicting psychological distress in college students: the role of rumination and stress. Journal of clinical psychology 61(4): 447-460

Ennis, L.; Horne, S. 2003: Predicting psychological distress in sex offender therapists. Sexual Abuse: a Journal of Research and Treatment 15(2): 149-157

Cunningham, M.J.; Roos, C.; Gu, L.; Spolek, G. 2004: Predicting psychrometric conditions in biocontaminant microenvironments with a microclimate heat and moisture transfer model -- description and field comparison. Indoor Air 14(4): 235-242

Ruano, R.; Martinovic, J.; Aubry, M.-C.; Dumez, Y.; Benachi, A. 2006: Predicting pulmonary hypoplasia using the sonographic fetal lung volume to body weight ratio--how precise and accurate is it?. Ultrasound in Obstetrics and Gynecology: the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology 28(7): 958-962

Schmulian, D.; Swanepoel, D.; Hugo, R.é 2005: Predicting pure-tone thresholds with dichotic multiple frequency auditory steady state responses. Journal of the American Academy of Audiology 16(1): 5-17

Finlayson, E.; Nelson, H. 2005: Predicting quality in surgery. British Journal of Surgery 92(2): 129-130

Goradia, D.; Blackmore, C.Craige.; Talner, L.B.; Bittles, M.; Meshberg, E. 2005: Predicting radiology resident errors in diagnosis of cervical spine fractures. Academic radiology 12(7): 888-893

Ismail, S.M.; Puppi, M.; Prithivirajsingh, S.; Munshi, A.; Raju, U.; Meyn, R.E.; Buchholz, T.A.; Story, M.D.; Brock, W.A.; Milas, L.; Thames, H.D.; Stevens, C.W. 2004: Predicting radiosensitivity using DNA end-binding complex analysis. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 10(4): 1226-1234

Das, S.K.; Baydush, A.H.; Zhou, S.; Miften, M.; Yu, X.; Craciunescu, O.; Oldham, M.; Light, K.; Wong, T.; Blazing, M.; Borges-Neto, S.; Dewhirst, M.W.; Marks, L.B. 2005: Predicting radiotherapy-induced cardiac perfusion defects. Medical Physics 32(1): 19-27

Ritter, M.A.; Berend, M.E.; Harty, L.D.; Davis, K.E.; Meding, J.B.; Keating, E.Michael. 2004: Predicting range of motion after revision total knee arthroplasty: clustering and log-linear regression analyses. Journal of Arthroplasty 19(3): 338-343

Ritter, M.A.; Harty, L.D.; Davis, K.E.; Meding, J.B.; Berend, M.E. 2003: Predicting range of motion after total knee arthroplasty. Clustering, log-linear regression, and regression tree analysis. Journal of Bone and Joint Surgery. American Volume 85(7): 1278-1285

Young, M.A. 1961: Predicting ratings of severity of stuttering. Journal of Speech and Hearing Disorders: 31-54

Bybee, D.; Sullivan, C.M. 2005: Predicting re-victimization of battered women 3 years after exiting a shelter program. American Journal of Community Psychology 36(1-2): 85-96

Hadjistavropoulos, H.; Shymkiw, J. 2007: Predicting readiness to self-manage pain. Clinical Journal of Pain 23(3): 259-266

Crossland, M.D.; Culham, L.E.; Rubin, G.S. 2005: Predicting reading fluency in patients with macular disease. Optometry and Vision Science: Official Publication of the American Academy of Optometry 82(1): 11-17

Liu, J. 2005: Predicting recidivism in a communitarian society: China. International journal of offender therapy and comparative criminology 49(4): 392-409

Baykara, N.; Solak, M.; Toker, K. 2003: Predicting recovery from deep neuromuscular block by rocuronium in the elderly. Journal of Clinical Anesthesia 15(5): 328-333

Suzuki, M.; Omori, M.; Hatakeyama, M.; Yamada, S.; Matsushita, K.; Iijima, S. 2006: Predicting recovery of upper-body dressing ability after stroke. Archives of Physical Medicine and Rehabilitation 87(11): 1496-1502

Ferguson, S.A.; Gupta, P.; Marras, W.S.; Heaney, C. 2001: Predicting recovery using continuous low back pain outcome measures. Spine Journal: Official Journal of the North American Spine Society 1(1): 57-65

Larrabee, J.H.; Janney, M.A.; Ostrow, C.L.; Withrow, M.L.; Hobbs, G.R.; Burant, C. 2003: Predicting registered nurse job satisfaction and intent to leave. Journal of Nursing Administration 33(5): 271-283

Hendryx, M.S.; Russo, J.E.; Stegner, B.; Dyck, D.G.; Ries, R.K.; Roy-Byrne, P. 2003: Predicting rehospitalization and outpatient services from administration and clinical databases. Journal of Behavioral Health Services and Research 30(3): 342-351

Chitsabesan, P.; Harrington, R.; Harrington, V.; Tomenson, B. 2003: Predicting repeat self-harm in children--how accurate can we expect to be?. European Child and Adolescent Psychiatry 12(1): 23-29

Rao, J.K.; Weinberger, M.; Anderson, L.A.; Kroenke, K. 2004: Predicting reports of unmet expectations among rheumatology patients. Arthritis and Rheumatism 51(2): 215-221

House, M.G.; Yeo, C.J.; Cameron, J.L.; Campbell, K.A.; Schulick, R.D.; Leach, S.D.; Hruban, R.H.; Horton, K.M.; Fishman, E.K.; Lillemoe, K.D. 2004: Predicting resectability of periampullary cancer with three-dimensional computed tomography. Journal of Gastrointestinal Surgery: Official Journal of the Society for Surgery of the Alimentary Tract 8(3): 280-288

McConnell, R.; Berhane, K.; Yao, L.; Lurmann, F.W.; Avol, E.; Peters, J.M. 2006: Predicting residential ozone deficits from nearby traffic. Science of the total environment 363(1-3): 166-174

Johnson, N.; Khalili, M.; Hirschowitz, L.; Ralli, F.; Porter, R. 2003: Predicting residual disease after excision of cervical dysplasia. Bjog: An International Journal of Obstetrics and Gynaecology 110(10): 952-955

Salti, G.I.; Das Gupta, T.K. 2003: Predicting residual lymph node basin disease in melanoma patients with sentinel lymph node metastases. American Journal of Surgery 186(2): 98-101

Romagnuolo, J.; Parent, J.ée.; Vuong, T.é; Bélanger, M.él.; Michel, R.é P.; Belliveau, P.J.; Trudel, J.L. 2004: Predicting residual rectal adenocarcinoma in the surgical specimen after preoperative brachytherapy with endoscopic ultrasound. Canadian Journal of Gastroenterology 18(7): 435-440

Mikolajczak, M.ïr.; Luminet, O.; Menil, C.ém. 2006: Predicting resistance to stress: incremental validity of trait emotional intelligence over alexithymia and optimism. Psicothema 18 Suppl: 79-88

Wahls, T.L.; Barnett, M.J.; Rosenthal, G.E. 2004: Predicting resource utilization in a Veterans Health Administration primary care population: comparison of methods based on diagnoses and medications. Medical Care 42(2): 123-128

Vedam, S.S.; Keall, P.J.; Docef, A.; Todor, D.A.; Kini, V.R.; Mohan, R. 2004: Predicting respiratory motion for four-dimensional radiotherapy. Medical Physics 31(8): 2274-2283

Reeve, C.A.; Whitehall, J.S.; Buettner, P.G.; Norton, R.; Reeve, D.M.; Francis, F. 2006: Predicting respiratory syncytial virus hospitalisation in Australian children. Journal of Paediatrics and Child Health 42(5): 248-252

Zbuk, K.M.; Eng, C. 2007: Predicting response to EGFR-tyrosine kinase inhibitors among diverse ancestries: just way too polymorphic. Cancer Biology and Therapy 6(1): 112-115

Besse, B.; Le Chevalier, T.; Soria, J.-C. 2004: Predicting response to Iressa: unexpected mechanism. Medecine Sciences: M/S 20(8-9): 750-751

Galderisi, S.; Bucci, P.; Mucci, A. 2002: Predicting response to antipsychotics by electrophysiological indices. Methods and Findings in Experimental and Clinical Pharmacology 24 Suppl D: 79

Stage, S.A.; Abbott, R.D.; Jenkins, J.R.; Berninger, V.W. 2003: Predicting response to early reading intervention from verbal IQ, reading-related language abilities, attention ratings, and verbal IQ-word reading discrepancy: failure to validate discrepancy method. Journal of Learning Disabilities 36(1): 24-33

Cole, R.P. 2006: Predicting response to fluid administration: something old, something new?. Critical Care Medicine 34(5): 1559-1560

Lipton, A.; Leitzel, K.; Ali, S. 2004: Predicting response to herceptin therapy. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 10(5): 1559-1560

Leppert, J.T.; Lam, J.S.; Belldegrun, A.S. 2005: Predicting response to interleukin-2 therapy among patients with renal cell carcinoma. Journal of ImmunoTherapy 28(5): 427-429

Takata, R.; Katagiri, T.; Kanehira, M.; Tsunoda, T.; Shuin, T.; Miki, T.; Namiki, M.; Kohri, K.; Matsushita, Y.; Fujioka, T.; Nakamura, Y. 2005: Predicting response to methotrexate, vinblastine, doxorubicin, and cisplatin neoadjuvant chemotherapy for bladder cancers through genome-wide gene expression profiling. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 11(7): 2625-2636

Bousquet, J.; Wenzel, S.; Holgate, S.; Lumry, W.; Freeman, P.; Fox, H. 2004: Predicting response to omalizumab, an anti-IgE antibody, in patients with allergic asthma. Chest 125(4): 1378-1386

Bonino, F.; Marcellin, P.; Lau, G.K.K.; Hadziyannis, S.; Jin, R.; Piratvisuth, T.; Germanidis, G.; Yurdaydin, C.; Diago, M.; Gurel, S.; Lai, M.-Y.; Brunetto, M.R.; Farci, P.; Popescu, M.; McCloud, P. 2007: Predicting response to peginterferon alpha-2a, lamivudine and the two combined for HBeAg-negative chronic hepatitis B. Gut 56(5): 699-705

Shoemaker, M.J.; Mullins-MacRitchie, M.; Bennett, J.; Vryhof, K.; Boettcher, I. 2006: Predicting response to rehabilitation in elderly patients with stroke using the Orpington Prognostic Scale and selected clinical variables. Journal of Geriatric Physical Therapy 29(2): 69-73

Suri, R.; Metcalfe, C.; Wallis, C.; Bush, A. 2004: Predicting response to rh DNase and hypertonic saline in children with cystic fibrosis. Pediatric Pulmonology 37(4): 305-310

Schultz, I.Z.; Crook, J.; Berkowitz, J.; Milner, R.; Meloche, G.R. 2005: Predicting return to work after low back injury using the Psychosocial Risk for Occupational Disability Instrument: a validation study. Journal of Occupational Rehabilitation 15(3): 365-376

Lennon, A.B.; Britton, J.R.; MacNiocaill, R.F.; Byrne, D.P.; Kenny, P.J.; Prendergast, P.J. 2007: Predicting revision risk for aseptic loosening of femoral components in total hip arthroplasty in individual patients--a finite element study. Journal of Orthopaedic Research: Official Publication of the Orthopaedic Research Society 25(6): 779-788

Alberts, J.C.J.; Parvaiz, A.; Moran, B.J. 2003: Predicting risk and diminishing the consequences of anastomotic dehiscence following rectal resection. Colorectal Disease: the Official Journal of the Association of Coloproctology of Great Britain and Ireland 5(5): 478-482

Cardarelli, R.; Licciardone, J.C.; Ramirez, G. 2004: Predicting risk for disciplinary action by a state medical board. Texas Medicine 100(1): 84-90

Meyskens, F.L.; Ransohoff, D.F. 2006: Predicting risk for the appearance of melanoma. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 24(22): 3522-3523

Ignatiadis, M.; Desmedt, C. 2007: Predicting risk of breast cancer recurrence using gene-expression profiling. Pharmacogenomics 8(1): 101-111

Tham, C.K.; Heng, C.K.; Chin, W.C. 2003: Predicting risk of coronary artery disease from DNA microarray-based genotyping using neural networks and other statistical analysis tool. Journal of Bioinformatics and Computational Biology 1(3): 521-539

Oldmeadow, L.B.; McBurney, H.; Robertson, V.J. 2003: Predicting risk of extended inpatient rehabilitation after hip or knee arthroplasty. Journal of Arthroplasty 18(6): 775-779

Weber, E.U.; Shafir, S.; Blais, A.-R. 2004: Predicting risk sensitivity in humans and lower animals: risk as variance or coefficient of variation. Psychological Review 111(2): 430-445

Hannan, E.L.; Wu, C.; DeLong, E.R.; Raudenbush, S.W. 2005: Predicting risk-adjusted mortality for CABG surgery: logistic versus hierarchical logistic models. Medical Care 43(7): 726-735

Keil, C.B.; Nicas, M. 2003: Predicting room vapor concentrations due to spills of organic solvents. Aiha Journal: a Journal for the Science of Occupational and Environmental Health and Safety 64(4): 445-454

Bruno, A. 2004: Predicting rtPA associated ICH in acute stroke. Stroke 35(12): 2762; Author Reply 2762-3

Rybolt, T.R.; Janeksela, V.E.; Hooper, D.N.; Thomas, H.E.; Carrington, N.A.; Williamson, E.J. 2004: Predicting second gas-solid virial coefficients using calculated molecular properties on various carbon surfaces. Journal of Colloid and Interface Science 272(1): 35-45

Błazewicz, J.; Hammer, P.L.; Lukasiak, P. 2005: Predicting secondary structures of proteins. Recognizing properties of amino acids with the logical analysis of data algorithm. IEEE Engineering in Medicine and Biology Magazine: the Quarterly Magazine of the Engineering in Medicine and Biology Society 24(3): 88-94

McDonald-Miszczak, L.; Wister, A.V. 2005: Predicting self-care behaviors among older adults coping with arthritis: a cross-sectional and 1-year longitudinal comparative analysis. Journal of Aging and Health 17(6): 836-857

Lau-Walker, M. 2006: Predicting self-efficacy using illness perception components: a patient survey. British Journal of Health Psychology 11(Part 4): 643-661

Schumm, W.R.; Webb, F.J.; Bollman, S.R.; Jurich, A.P.; Reppert, E.J.; Castelo, C.S.; Stever, J.A. 2004: Predicting self-reported exposure to nerve agents by reserve component personnel during the first Persian Gulf War. Psychological Reports 94(3 Pt 1): 989-992

Jonjic, N.; Mustac, E.; Dekanic, A.; Marijic, B.; Gaspar, B.; Kolic, I.; Coklo, M.; Sasso, F. 2006: Predicting sentinel lymph node metastases in infiltrating breast carcinoma with vascular invasion. International Journal of Surgical Pathology 14(4): 306-311

Nomani, M.Z.A.; Khan, A.H.; Shahda, M.M.; Nomani, A.K.; Sattar, S.A. 2005: Predicting serum gastrin levels among men during Ramadan fasting. Eastern Mediterranean Health Journal 11(1-2): 119-125

Jalal, P.K.; Bank, S. 2007: Predicting severe acute pancreatitis: how have we done so far?. Journal of Gastroenterology and Hepatology 22(3): 291-292

Brown, A. 2003: Predicting severity in acute pancreatitis: in search of a perfect marker. Journal of Clinical Gastroenterology 36(3): 195-197

Von Kodolitsch, Y.; Berger, J.; Rogan, P.K. 2006: Predicting severity of haemophilia a and B splicing mutations by information analysis. Haemophilia: the Official Journal of the World Federation of Hemophilia 12(3): 258-262

Caperton, J.D.; Edens, J.F.; Johnson, J.K. 2004: Predicting sex offender institutional adjustment and treatment compliance using the personality assessment inventory. Psychological Assessment 16(2): 187-191

Jones, N.; Pelissier, B.; Klein-Saffran, J. 2006: Predicting sex offender treatment entry among individuals convicted of sexual offense crimes. Sexual Abuse: a Journal of Research and Treatment 18(1): 83-98

Wang, J.; Guo, K.; Qiu, F.; Zhang, H.; Yang, Y. 2005: Predicting shapes of polymer-chain-anchored fluid vesicles. Physical Review. E Statistical Nonlinear and Soft Matter Physics 71(4 Part 1): 041908

Karrass, J.; VanDeventer, M.C.; Braungart-Rieker, J.M. 2003: Predicting shared parent--child book reading in infancy. Journal of Family Psychology: Jfp: Journal of the Division of Family Psychology of the American Psychological Association 17(1): 134-146

Freitag, M.A.; Hillman, B.; Agrawal, A.; Gordon, M.S. 2004: Predicting shielding constants in solution using gauge invariant atomic orbital theory and the effective fragment potential method. Journal of Chemical Physics 120(3): 1197-1202

Smith, L.; Norman, P.; Folkard, S. 2001: Predicting shiftwork-related outcomes: shiftwork locus of control and circadian type. Journal of Human Ergology 30(1-2): 59-64

Zhou, J.; Kumarasamy, N. 2005: Predicting short-term disease progression among HIV-infected patients in Asia and the Pacific region: preliminary results from the TREAT Asia HIV Observational Database (TAHOD). HIV Medicine 6(3): 216-223

Ebell, M.H. 2006: Predicting short-term risk of stroke after TIA. American Family Physician 74(6): 1001-1002

Eberlein-König, B.; Schmidt-Leidescher, C.; Behrendt, H.; Ring, J. 2006: Predicting side-effects in venom immunotherapy by basophil activation?. Allergy 61(7): 897

Lim, H.H.; Daniel, L.M.; Lee, J.; Tan, M.C. 2003: Predicting significant hyperbilirubinaemia and early discharge for glucose-6-phosphate dehydrogenase deficient newborns. Annals of the Academy of Medicine Singapore 32(2): 257-261

Barata, C.; Calbet, A.; Saiz, E.; Ortiz, L.; Bayona, J.M. 2005: Predicting single and mixture toxicity of petrogenic polycyclic aromatic hydrocarbons to the copepod Oithona davisae. Environmental Toxicology and Chemistry 24(11): 2992-2999

Kong, W.; Choo, K.W. 2007: Predicting single nucleotide polymorphisms (SNP) from DNA sequence by support vector machine. Frontiers in Bioscience: a Journal and Virtual Library 12: 1610-1614

Minars, M.; Burch, J.; Masella, R.; Meister, M. 2003: Predicting skeletal maturation using cervical vertebrae. Today's Fda: Official Monthly Journal of the Florida Dental Association 15(10): 17-19

Fu, X.C.; Liang, W.Q.; Yu, Q.S. 2001: Predicting skin permeability of drugs with theoretical parameters. Yao Xue Xue Bao 36(2): 145-147

Mello, F.Carvalho.de.Queiroz.; Bastos, L.Gustavo.do.Valle.; Soares, Sérgio.Luiz.Machado.; Rezende, Véria.M.C.; Conde, M.Barreto.; Chaisson, R.E.; Kritski, Aânio.Lineu.; Ruffino-Netto, A.; Werneck, G.Loureiro. 2006: Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study. Bmc Public Health 6: 43

Epstein, J.A.; Botvin, G.J.; Spoth, R. 2003: Predicting smoking among rural adolescents: social and cognitive processes. Nicotine and Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco 5(4): 485-491

Pearce, J.; Boyle, P.; Flowerdew, R. 2003: Predicting smoking behaviour in census output areas across Scotland. Health and Place 9(2): 139-149

Boudreaux, E.; Carmack, C.L.; Searinci, I.C.; Brantley, P.J. 1998: Predicting smoking stage of change among a sample of low socioeconomic status, primary care outpatients: replication and extension using decisional balance and self-efficacy theories. International Journal of Behavioral Medicine 5(2): 148-165

Boudreaux, E.D.; Hunter, G.C.; Bos, K.; Clark, S.; Camargo, C.A. 2006: Predicting smoking stage of change among emergency department patients and visitors. Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine 13(1): 39-47

Efremenko, I.; Sheintuch, M. 2006: Predicting solute adsorption on activated carbon: phenol. Langmuir: the Acs Journal of Surfaces and Colloids 22(8): 3614-3621

Leathley, M.J.; Gregson, J.M.; Moore, A.P.; Smith, T.L.; Sharma, A.K.; Watkins, C.L. 2004: Predicting spasticity after stroke in those surviving to 12 months. Clinical Rehabilitation 18(4): 438-443

Hu, T.; Sung, S.Y. 2004: Predicting spatial data with RBF networks. International Journal of Neural Systems 14(2): 117-123

Fong, J.H.; Keating, A.E.; Singh, M. 2004: Predicting specificity in bZIP coiled-coil protein interactions. Genome Biology 5(2): R11

Linkosalo, T.; Carter, T.R..; Häkkinen, R.; Hari, P. 2000: Predicting spring phenology and frost damage risk of Betula spp. under climatic warming: a comparison of two models. Tree Physiology 20(17): 1175-1182

Smith, C.L.; Calkins, S.D.; Keane, S.P.; Anastopoulos, A.D.; Shelton, T.L. 2004: Predicting stability and change in toddler behavior problems: contributions of maternal behavior and child gender. Developmental Psychology 40(1): 29-42

Billett, M.F.; Cresser, M.S. 1992: Predicting stream-water quality using catchment and soil chemical characteristics. Environmental Pollution 77(2-3): 263-268

Pryjmachuk, S.; Richards, D.A. 2008: Predicting stress in pre-registration midwifery students attending a university in Northern England. Midwifery 24(1): 108-122

Pryjmachuk, S.; Richards, D.A. 2007: Predicting stress in pre-registration nursing students. British Journal of Health Psychology 12(Part 1): 125-144

Zacharias, C.R.; Lemes, M.íc.R.; Pino Júnior, A.D.; Santo Orcero, D. 2003: Predicting structural models for silicon clusters. Journal of Computational Chemistry 24(7): 869-875

Kröner-Herwig, B.; Jäkle, C.; Frettlöh, J.; Peters, K.; Seemann, H.; Franz, C.; Basler, H.D. 1996: Predicting subjective disability in chronic pain patients. International Journal of Behavioral Medicine 3(1): 30-41

Cheng, X.; Bradley, A.; Thibos, L.N. 2004: Predicting subjective judgment of best focus with objective image quality metrics. Journal of Vision 4(4): 310-321

Cosio, F.G.; Grande, J.P.; Wadei, H.; Larson, T.S.; Griffin, M.D.; Stegall, M.D. 2005: Predicting subsequent decline in kidney allograft function from early surveillance biopsies. American Journal of Transplantation: Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons 5(10): 2464-2472

Gunvant, P.; Zheng, Y.; Essock, E.A.; Chen, P.P.; Greenfield, D.S.; Bagga, H.; Boehm, M.D. 2005: Predicting subsequent visual field loss in glaucomatous subjects with disc hemorrhage using retinal nerve fiber layer polarimetry. Journal of Glaucoma 14(1): 20-25

Hermann, J.C.; Ghanem, E.; Li, Y.; Raushel, F.M.; Irwin, J.J.; Shoichet, B.K. 2006: Predicting substrates by docking high-energy intermediates to enzyme structures. Journal of the American Chemical Society 128(49): 15882-15891

Maree, J.G.; Pretorius, A.; Eiselen, Rëtte.J. 2003: Predicting success among first-year engineering students at the Rand Afrikaans University. Psychological Reports 93(2): 399-409

Stotsky, B.A. 1955: Predicting success on the member-employee rehabilitation program. Journal of Consulting Psychology 19(4): 274

Walden, T.C.; Walden, B.E. 2004: Predicting success with hearing aids in everyday living. Journal of the American Academy of Audiology 15(5): 342-352

Bolan, C.M.; Grainger, P. 2003: Predicting success. High school to nursing. Canadian Nurse 99(3): 18-22

Hester, R.L.; Murphy, K.; Foxe, J.J.; Foxe, D.M.; Javitt, D.C.; Garavan, H. 2004: Predicting success: patterns of cortical activation and deactivation prior to response inhibition. Journal of Cognitive Neuroscience 16(5): 776-785

Kamlin, C.O.F.; Davis, P.G.; Morley, C.J. 2006: Predicting successful extubation of very low birthweight infants. Archives of Disease in Childhood. Fetal and Neonatal Edition 91(3): F180-F183

Pershing, L.K.; Nelson, J.L.; Corlett, J.L.; Briggs, G.B.; Still, K.R.; Jederberg, W.W. 2005: Disposition and pharmacokinetics of a lubricant contaminant, 2,6-di-tert-butyl 4-nitrophenol, in grafted human skin. Journal of Applied Toxicology: Jat 26(5): 402-409

Kearney, M.T.; Fox, K.A.A.; Lee, A.J.; Brooksby, W.P.; Shah, A.M.; Flapan, A.; Prescott, R.J.; Andrews, R.; Batin, P.D.; Eckberg, D.L.; Gall, N.; Zaman, A.G.; Lindsay, H.S.; Nolan, J. 2004: Predicting sudden death in patients with mild to moderate chronic heart failure. Heart 90(10): 1137-1143

Lester, D. 2005: Predicting suicide in nations. Archives of Suicide Research: Official Journal of the International Academy for Suicide Research 9(2): 219-223

Giedt, F.H. 1961: Predicting suitability for group psychotherapy. American Journal of PsychoTherapy 15: 582-591

Moon, H.Jong.; An, J.Yeong.; Heo, J.Seok.; Choi, S.Ho.; Joh, J.Won.; Kim, Y.Il. 2006: Predicting survival after surgical resection for pancreatic ductal adenocarcinoma. Pancreas 32(1): 37-43

Elliott, J.; Beringer, T.; Kee, F.; Marsh, D.; Willis, C.; Stevenson, M. 2003: Predicting survival after treatment for fracture of the proximal femur and the effect of delays to surgery. Journal of Clinical Epidemiology 56(8): 788-795

Bambha, K.; Kim, W.R.; Kremers, W.K.; Therneau, T.M.; Kamath, P.S.; Wiesner, R.; Rosen, C.B.; Thostenson, J.; Benson, J.T.; Dickson, E.R. 2004: Predicting survival among patients listed for liver transplantation: an assessment of serial MELD measurements. American Journal of Transplantation: Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons 4(11): 1798-1804

Malcovati, L.; Della Porta, M.G.; Cazzola, M. 2006: Predicting survival and leukemic evolution in patients with myelodysplastic syndrome. Haematologica 91(12): 1588-1590

Le Duff, F.; Muntean, C.; Cuggia, M.; Mabo, P. 2004: Predicting survival causes after out of hospital cardiac arrest using data mining method. Studies in Health Technology and Informatics 107(Pt 2): 1256-1259

Bottomley, A.; Efficace, F. 2006: Predicting survival in advanced cancer patients: is it possible with patient-reported health status data?. Annals of Oncology: Official Journal of the European Society for Medical Oncology 17(7): 1037-1038

Lund, L.H.; Aaronson, K.D.; Mancini, D.M. 2003: Predicting survival in ambulatory patients with severe heart failure on beta-blocker therapy. American Journal of Cardiology 92(11): 1350-1354

Gerdtham, U.G.; Zethraeus, N. 2003: Predicting survival in cost-effectiveness analyses based on clinical trials. International Journal of Technology Assessment in Health Care 19(3): 507-512

Sherman, M. 2005: Predicting survival in hepatitis B. Gut 54(11): 1521-1523

Leacche, M.; Winkelmayer, W.C.; Paul, S.; Lin, J.; Unic, D.; Rawn, J.D.; Cohn, L.H.; Byrne, J.G. 2006: Predicting survival in patients requiring renal replacement therapy after cardiac surgery. Annals of Thoracic Surgery 81(4): 1385-1392

Kung, J.W.C.; MacDougall, M.; Madhavan, K.K.; Garden, O.J.; Parks, R.W. 2007: Predicting survival in patients with hepatocellular carcinoma: a UK perspective. European Journal of Surgical Oncology: the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 33(2): 188-194

Wigmore, S.J.; Redhead, D.N.; Thomson, B.N.J.; Parks, R.W.; Garden, O.J. 2004: Predicting survival in patients with liver cancer considered for transarterial chemoembolization. European Journal of Surgical Oncology: the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 30(1): 41-45

Danesi, R.; Paolo, A.D. 2003: Predicting survival with artificial neural networks. Clinical Colorectal Cancer 2(4): 245

Sunde, K.; Kramer-Johansen, J.; Pytte, M.; Steen, P.Andreas. 2007: Predicting survival with good neurologic recovery at hospital admission after successful resuscitation of out-of-hospital cardiac arrest: the OHCA score. European Heart Journal 28(6): 773; Author Reply 773-4

Ilia, R.; Zahger, D.; Cafri, C.; Abu-Ful, A.; Weinstein, J.M.; Yaroslavtsev, S.; Gilutz, H.; Amit, G. 2007: Predicting survival with reperfusion arrhythmias during primary percutaneous coronary intervention for acute myocardial infarction. Israel Medical Association Journal: Imaj 9(1): 21-23

Bishop, M.T.; Hart, P.; Aitchison, L.; Baybutt, H.N.; Plinston, C.; Thomson, V.; Tuzi, N.L.; Head, M.W.; Ironside, J.W.; Will, R.G.; Manson, J.C. 2006: Predicting susceptibility and incubation time of human-to-human transmission of vCJD. Lancet. Neurology 5(5): 393-398

Baber, J.C.; Feher, M. 2004: Predicting synthetic accessibility: application in drug discovery and development. Mini Reviews in Medicinal Chemistry 4(6): 681-692

Jensen, E.V. 1962: Predicting systems for antitumor activity in humans--endocrines. Cancer ChemoTherapy Reports 16: 47-48

Charest, M.J.; Leonard, L.B. 2004: Predicting tense: finite verb morphology and subject pronouns in the speech of typically-developing children and children with specific language impairment. Journal of Child Language 31(1): 231-246

Halaska, M.G.; Vlk, R.; Feldmar, P.; Hrehorcak, M.; Krcmar, M.; Mlcochova, H.; Mala, I.; Rob, L. 2006: Predicting term birth weight using ultrasound and maternal characteristics. European Journal of Obstetrics Gynecology and Reproductive Biology 128(1-2): 231-235

Best, W.R. 2006: Predicting the Crohn's disease activity index from the Harvey-Bradshaw Index. Inflammatory Bowel Diseases 12(4): 304-310

Stineman, M.G.; Ross, R.N.; Granger, C.V.; Maislin, G. 2003: Predicting the achievement of 6 grades of physical independence from data routinely collected at admission to rehabilitation. Archives of Physical Medicine and Rehabilitation 84(11): 1647-1656

Boronat, M.; Corma, A.; Renz, M.; Viruela, P.M. 2006: Predicting the activity of single isolated Lewis acid sites in solid catalysts. Chemistry 12(27): 7067-7077

Ford, E.W.; Menachemi, N.; Phillips, M.Thad. 2006: Predicting the adoption of electronic health records by physicians: when will health care be paperless?. Journal of the American Medical Informatics Association: Jamia 13(1): 106-112

Dingermann, T.; Zündorf, I. 2005: Predicting the aggressiveness of tumors. Pharmazie in Unserer Zeit 34(2): 94-95

Ollivier, L.; James, J.W. 2004: Predicting the annual effective size of livestock populations. Genetical Research 84(1): 41-46

Tsuneoka, N.; Kuroki, T.; Haraguchi, M.; Furui, J. 2006: Predicting the antitumor effects of STI571 by analysis of c-kit gene mutations in gastrointestinal stromal tumors of the stomach: Report of a case. Surgery Today 36(11): 989-993

Block, J.; Martin, B. 1955: Predicting the behavior of children under frustration. Journal of Abnormal Psychology 51(2): 281-285

Lockwood, G.G.; Aleksander, I. 2003: Predicting the behaviour of G-RAM networks. Neural Networks: the Official Journal of the International Neural Network Society 16(1): 91-100

Liu, G.; Dou, S.; He, J.; Liu, X.; Rusckowski, M.; Hnatowich, D.J. 2007: Predicting the biodistribution of radiolabeled cMORF effector in MORF-pretargeted mice. European Journal of Nuclear Medicine and Molecular Imaging 34(2): 237-246

Sussman, F.; Rumbo, A.; Villaverde, M.C.; Mouriño, A. 2004: Predicting the cell differentiation activity of 1 alpha,25-dihydroxyvitamin D3 side chain analogues from docking simulations. Journal of Medicinal Chemistry 47(7): 1613-1616

Choi, N.G.; Bohman, T.M. 2007: Predicting the changes in depressive symptomatology in later life: how much do changes in health status, marital and caregiving status, work and volunteering, and health-related behaviors contribute?. Journal of Aging and Health 19(1): 152-177

Wei, L.-m.; Jiang, H.-y.; Li, J.-h.; Yan, Y.-l.; Dai, J.-r. 2005: Predicting the chemical composition of intact kernels in maize hybrids by near infrared reflectance spectroscopy. Guang Pu Xue Yu Guang Pu Fen Xi 25(9): 1404-1407

De Smet, F.; Pochet, N.L.M.M.; Engelen, K.; Van Gorp, T.; Van Hummelen, P.; Marchal, K.; Amant, F.; Timmerman, D.; De Moor, B.L.R.; Vergote, I.B. 2006: Predicting the clinical behavior of ovarian cancer from gene expression profiles. International Journal of Gynecological Cancer: Official Journal of the International Gynecological Cancer Society 16(Suppl 1): 147-151

Butler, C.C.; Hood, K.; Kinnersley, P.; Robling, M.; Prout, H.; Houston, H. 2005: Predicting the clinical course of suspected acute viral upper respiratory tract infection in children. Family Practice 22(1): 92-95

Northway, N. 2003: Predicting the continued use of overlays in school children--a comparison of the Developmental Eye Movement test and the Rate of Reading test. Ophthalmic and Physiological Optics: the Journal of the British College of Ophthalmic Opticians 23(5): 457-464

Griffith, G.C. 1962: Predicting the coronary-prone. World-Wide Abstracts of General Medicine 5: 8-13

McCrone, P.; Allcock, L.M.; Burn, D.J. 2007: Predicting the cost of Parkinson's disease. Movement Disorders: Official Journal of the Movement Disorder Society 22(6): 804-812

Mapel, D.W.; McMillan, G.P.; Frost, F.J.; Hurley, J.S.; Picchi, M.A.; Lydick, E.; Spencer, M.D. 2005: Predicting the costs of managing patients with chronic obstructive pulmonary disease. Respiratory Medicine 99(10): 1325-1333

Guan, C.P.; Jiang, Z.R.; Zhou, Y.H. 2005: Predicting the coupling specificity of GPCRs to G-proteins by support vector machines. Genomics Proteomics and Bioinformatics 3(4): 247-251

Van Doorn, P.A.; Jacobs, B.C. 2006: Predicting the course of Guillain-Barré syndrome. LANCET. Neurology 5(12): 991-993

Halonen, M.; Stern, D.A. 2006: Predicting the course of asthma. Allergy and Asthma Proceedings 27(5): 328-331

Knöbl, P. 2005: Predicting the course of sepsis: the next step?. Critical Care Medicine 33(2): 450-452

Kindermann, G.E.; Obersteiner, M.; Rametsteiner, E.; McCallum, I. 2006: Predicting the deforestation-trend under different carbon-prices. Carbon Balance and Management 1: 15

Parker, G. 2004: Predicting the depression researcher: initial investigations. Australasian Psychiatry: Bulletin of Royal Australian and New Zealand College of Psychiatrists 12(4): 404-405

William, J.; Hogan, D.; Batlle, D. 2005: Predicting the development of diabetic nephropathy and its progression. Advances in Chronic Kidney Disease 12(2): 202-211

Pauli-Pott, U.; Mertesacker, B.; Beckmann, D. 2004: Predicting the development of infant emotionality from maternal characteristics. Development and Psychopathology 16(1): 19-42

Velemínská, J.; Smahel, Z.; Müllerová, Z. 2005: Predicting the development of jaws in patients with complete unilateral cleft of the lip and palate. Acta Chirurgiae Plasticae 47(3): 81-84

Sibal, L.; Law, H.N.; Gebbie, J.; Dashora, U.K.; Agarwal, S.C.; Home, P. 2006: Predicting the development of macrovascular disease in people with type 1 diabetes: a 9-year follow-up study. Annals of the new York Academy of Sciences 1084: 191-207

Alper, T.G. 1957: Predicting the direction of selective recall: its relation to ego strength and n achievement. Journal of Abnormal Psychology 55(2): 149-165

Jones, C. 1961: Predicting the dry and wet bulb temperatures of coal mine airflow. Annals of Occupational Hygiene 3: 129-153

Randolph, D.S. 2004: Predicting the effect of disability on employment status and income. Work 23(3): 257-266

Randolph, D.S. 2005: Predicting the effect of extrinsic and intrinsic job satisfaction factors on recruitment and retention of rehabilitation professionals. Journal of Healthcare Management / American College of Healthcare Executives 50(1): 49-60; Discussion 60

Johnson, E. 2004: Predicting the effect of high RH on organic vapor cartridge performance. Occupational Health and Safety 73(11): 60; 62-65

Torregrosa, J.-V.; Fuster, D.; Ybarra, J.; Ortín, J.; Moreno, A.ín.; Valveny, N. 2004: Predicting the effect of intravenous calcitriol on parathyroid gland activity using double-phase technetium Tc 99m-sestamibi scintigraphy. American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation 44(3): 476-480

Ng, P.C.; Henikoff, S. 2006: Predicting the effects of amino acid substitutions on protein function. Annual Review of Genomics and Human Genetics 7: 61-80

Butson, C.R.; Cooper, S.E.; Henderson, J.M.; McIntyre, C.C. 2006: Predicting the effects of deep brain stimulation with diffusion tensor based electric field models. Medical Image Computing and Computer-Assisted Intervention: Miccai . International Conference on Medical Image Computing and Computer-Assisted Intervention 9(Part 2): 429-437

Nagata, H.; Nozaki, M.; Nakano, H. 2003: Predicting the effects of estrogen replacement therapy on lumbar bone mineral density in oophorectomized women: analysis of a 10-year longitudinal study. Osteoporosis International: a Journal Established as Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the Usa 14(11): 905-912

Brolinson, P.G. 2004: Predicting the effects of sports-related concussion in young athletes. Clinical Journal of Sport Medicine: Official Journal of the Canadian Academy of Sport Medicine 14(4): 253

Yekeler, H.ül.; Yekeler, M. 2006: Predicting the efficiencies of 2-mercaptobenzothiazole collectors used as chelating agents in flotation processes: a density-functional study. Journal of Molecular Modeling 12(6): 763-768

Mao, P-Lin.; Liu, T-Fei.; Kueh, K.; Wu, P. 2004: Predicting the efficiency of UAG translational stop signal through studies of physicochemical properties of its composite mono- and dinucleotides. Computational Biology and Chemistry 28(4): 245-256

Burkett, J.W. 1953: Predicting the efficiency of problem soldiers. United States Armed Forces Medical Journal 4(1): 67-69

Fenech, B.; Jacobsen, F. 2005: Predicting the eigenmodes of a cavity containing an array of circular pipes. Journal of the Acoustical Society of America 117(1): 63-67

Gershengorn, H.B.; Darby, G.; Blower, S.M. 2003: Predicting the emergence of drug-resistant HSV-2: new predictions. Bmc Infectious Diseases 3: 1

Gutowski, K.E.; Dixon, D.A. 2006: Predicting the energy of the water exchange reaction and free energy of solvation for the uranyl ion in aqueous solution. Journal of Physical Chemistry. a 110(28): 8840-8856

Muller, M.E.; Webber, C.E.; Bouxsein, M.L. 2003: Predicting the failure load of the distal radius. Osteoporosis International: a Journal Established as Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the Usa 14(4): 345-352

Anonymous 2005: Predicting the failure of 3 by 5. Lancet 365(9471): 1597

Brown, R.C.; Brown, J.E. 2005: Predicting the failure of 3 by 5. Lancet 366(9480): 117-118

Donnell, E.T.; Mason, J.M. 2006: Predicting the frequency of median barrier crashes on Pennsylvania interstate highways. Accident; Analysis and Prevention 38(3): 590-599

Mera, R. 2005: Predicting the future Streptococcus pneumoniae resistance landscape. Current Opinion in Pharmacology 5(5): 459-464

Dicker, A.P.; Rodeck, U. 2005: Predicting the future from trials of the past: epidermal growth factor receptor expression and outcome of fractionated radiation therapy trials. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 23(24): 5437-5439

Glynn, P.M. 1998: Predicting the future of the adult nurse practitioner. Clinical Excellence for Nurse Practitioners: the International Journal of Npace 2(3): 174-182

Nishiura, H.; Patanarapelert, K.; Tang, I.Ming. 2004: Predicting the future trend of drug-resistant tuberculosis in Thailand: assessing the impact of control strategies. Southeast Asian Journal of Tropical Medicine and Public Health 35(3): 649-656

Theisen, C. 2003: Predicting the future: projections help researchers allocate resources. Journal of the National Cancer Institute 95(12): 846-848

Mattioni, B.E.; Kauffman, G.W.; Jurs, P.C.; Custer, L.L.; Durham, S.K.; Pearl, G.M. 2003: Predicting the genotoxicity of secondary and aromatic amines using data subsetting to generate a model ensemble. Journal of Chemical Information and Computer Sciences 43(3): 949-963

Peterson, A.T. 2003: Predicting the geography of species' invasions via ecological niche modeling. Quarterly Review of Biology 78(4): 419-433

Schück, O.; Viklický, O.; Voska, Lĕk.; Vítko, S.; Teplan, Vír.; Lácha, Jí.; Jabor, Aín.; Skibová, J.; Stollová, M. 2003: Predicting the grade of Banff 97 classification of chronic allograft nephropathy based on examination of graft dysfunction (a preliminary report). Annals of transplantation 8(3): 5-7

Lin, J-Hong.; Tsai, A.Yi-Jung.; Lo, S-Kai.; Chang, J-Jong.; Huang, M-Hsiung. 2005: Predicting the grade of disabilty 1 year after stroke following rehabilitation. Kaohsiung Journal of Medical Sciences 21(5): 212-219

Meissner, B.; Harrison, D.; Carter, J.; Borrego, M. 2006: Predicting the impact of Medicare Part D implementation on the pharmacy workforce. Research in Social and Administrative Pharmacy: Rsap 2(3): 315-328

Bartos, C.E.; Nigam, M.K.; Fridsma, D.B.; Gadd, C.S. 2004: Predicting the impact of a new information system on workflow using a discrete event simulation. Studies in Health Technology and Informatics 107(Pt 1): 706-710

Blower, S.; Ma, L.; Farmer, P.; Koenig, S. 2003: Predicting the impact of antiretrovirals in resource-poor settings: preventing HIV infections whilst controlling drug resistance. Current Drug Targets. Infectious Disorders 3(4): 345-353

Oakley, L.; Doyle, P. 2006: Predicting the impact of in vitro fertilisation and other forms of assisted conception on perinatal and infant mortality in England and Wales: examining the role of multiplicity. Bjog: An International Journal of Obstetrics and Gynaecology 113(6): 738-741

Simpson, S.; Packer, C.; Stevens, A.; Raftery, J. 2005: Predicting the impact of new health technologies on average length of stay: development of a prediction framework. International Journal of Technology Assessment in Health Care 21(4): 487-491

Noble, W.S.; Kuehn, S.; Thurman, R.; Yu, M.; Stamatoyannopoulos, J. 2005: Predicting the in vivo signature of human gene regulatory sequences. Bioinformatics 21(Suppl 1): I338-I343

Ellett, M.L.C.; Beckstrand, J.; Flueckiger, J.; Perkins, S.M.; Johnson, C.S. 2005: Predicting the insertion distance for placing gastric tubes. Clinical Nursing Research 14(1): 11-27; Discussion: 28-31

Gordon, K.C.; Burton, S.; Porter, L. 2004: Predicting the intentions of women in domestic violence shelters to return to partners: does forgiveness play a role?. Journal of Family Psychology: Jfp: Journal of the Division of Family Psychology of the American Psychological Association 18(2): 331-338

Richter, A.; Blaha, L.; Gross, W.; Schreiber, W. 2004: Predicting the job performance of schizophrenic patients. Psychiatrische Praxis 31(Suppl 1): S35-S37

Ebell, M.H. 2007: Predicting the likelihood of bacterial meningitis in children. American Family Physician 75(4): 533-535

Lyon, D.; Lancaster, G.A.; Taylor, S.; Dowrick, C.; Chellaswamy, H. 2007: Predicting the likelihood of emergency admission to hospital of older people: development and validation of the Emergency Admission Risk Likelihood Index (EARLI). Family Practice 24(2): 158-167

Volrathongchai, K.; Brennan, P.F.; Ferris, M.C. 2005: Predicting the likelihood of falls among the elderly using likelihood basis pursuit technique. AMIA . Annual Symposium Proceedings. AMIA Symposium 2005: 764-768

Byrne, M.F.; Baillie, J. 2003: Predicting the likelihood of therapeutic ERCP. a suggested 'model' to limit the number of purely diagnostic ERCPs. Digestive and Liver Disease: Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 35(7): 458-460

Burdorf, A.; Jansen, J.P. 2006: Predicting the long term course of low back pain and its consequences for sickness absence and associated work disability. Occupational and Environmental Medicine 63(8): 522-529

Widmer-Cooper, A.; Harrowell, P. 2006: Predicting the long-time dynamic heterogeneity in a supercooled liquid on the basis of short-time heterogeneities. Physical Review Letters 96(18): 185701

Barker, K.L.; Shortt, N.L.; Simpson, H.R. 2006: Predicting the loss of knee flexion during limb lengthening using inherent muscle length. Journal of Pediatric Orthopedics. Part B 15(6): 404-407

Porter, D.; Vollrath, F.; Shao, Z. 2005: Predicting the mechanical properties of spider silk as a model nanostructured polymer. European Physical Journal. E Soft Matter 16(2): 199-206

Goettler, C.E.; Fugo, J.R.; Bard, M.R.; Newell, M.A.; Sagraves, S.G.; Toschlog, E.A.; Schenarts, P.J.; Rotondo, M.F. 2006: Predicting the need for early tracheostomy: a multifactorial analysis of 992 intubated trauma patients. Journal of Trauma 60(5): 991-996

Meulendijks, C.F.M.; van den Berg, E.J.; Fortuyn, H.D.; Verkes, R.J.; van der Wilt, G.J.; Kramers, C. 2003: Predicting the need for hospital admission in patients with intentional drug overdose. Netherlands Journal of Medicine 61(5): 164-167

Kunkov, S.; Pinedo, V.; Silver, E.J.; Crain, E.F. 2005: Predicting the need for hospitalization in acute childhood asthma using end-tidal capnography. Pediatric Emergency Care 21(9): 574-577

Bellomo, R. 2003: Predicting the need for renal replacement therapy and diuretic therapy in ICU: dopamine revisited?. Critical Care and Resuscitation: Journal of the Australasian Academy of Critical Care Medicine 5(2): 87-88

Scher, D.M.; Feldman, D.S.; van Bosse, H.J.P.; Sala, D.A.; Lehman, W.B. 2004: Predicting the need for tenotomy in the Ponseti method for correction of clubfeet. Journal of Pediatric Orthopedics 24(4): 349-352

Morosini, A.; Davies, M.W. 2004: Predicting the need for ventilation in term and near-term neonates. Journal of Paediatrics and Child Health 40(8): 438-443

Patel, H.; Beeby, P.J.; Henderson-Smart, D.J. 2003: Predicting the need for ventilatory support in neonates 30-36 weeks' gestational age. Journal of Paediatrics and Child Health 39(3): 206-209

Bedrosian, I.; Rodriguez-Bigas, M.A.; Feig, B.; Hunt, K.K.; Ellis, L.; Curley, S.A.; Vauthey, J.N.; Delclos, M.; Crane, C.; Janjan, N.; Skibber, J.M. 2004: Predicting the node-negative mesorectum after preoperative chemoradiation for locally advanced rectal carcinoma. Journal of Gastrointestinal Surgery: Official Journal of the Society for Surgery of the Alimentary Tract 8(1): 56-62; Discussion: 62-63

Willems, W.; Goethals, P.; Van Lancker, V.; Verfaillie, E.; Vincx, M.; Degraer, S. 2005: Predicting the occurrence of benthic species in the North Sea. Communications in Agricultural and Applied Biological Sciences 70(2): 293-296

Melton, H.C. 2007: Predicting the occurrence of stalking in relationships characterized by domestic violence. Journal of Interpersonal Violence 22(1): 3-25

Sbarra, D.A. 2006: Predicting the onset of emotional recovery following nonmarital relationship dissolution: survival analyses of sadness and anger. Personality and Social Psychology Bulletin 32(3): 298-312

Nahit, E.S.; Taylor, S.; Hunt, I.M.; Silman, A.J.; Macfarlane, G.J. 2003: Predicting the onset of forearm pain: a prospective study across 12 occupational groups. Arthritis and Rheumatism 49(4): 519-525

Seidenberg, H. 1958: Predicting the onset of psychosis by a nightmare of death. Psychiatry 21(2): 225-226

Jones, G.T.; Silman, A.J.; Macfarlane, G.J. 2003: Predicting the onset of widespread body pain among children. Arthritis and Rheumatism 48(9): 2615-2621

De Hoon, M.J.L.; Imoto, S.; Kobayashi, K.; Ogasawara, N.; Miyano, S. 2004: Predicting the operon structure of Bacillus subtilis using operon length, intergene distance, and gene expression information. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2004: 276-287

Walker, R.G.; Kelley, F.E. 1960: Predicting the outcome of a schizophrenic episode. A.M.A. Archives of General Psychiatry 2: 492-503

Edgell, S.E.; McCabe, S.J.; Breidenbach, W.C.; LaJoie, A.S.; Abell, T.D. 2003: Predicting the outcome of carpal tunnel release. Journal of Hand Surgery 28(2): 255-261

Allen, W.L.; Coyle, V.M.; Johnston, P.G. 2006: Predicting the outcome of chemotherapy for colorectal cancer. Current Opinion in Pharmacology 6(4): 332-336

Rosell, R.; Cecere, F.; Santarpia, M.; Reguart, N.; Taron, M. 2006: Predicting the outcome of chemotherapy for lung cancer. Current Opinion in Pharmacology 6(4): 323-331

Slutsky, D.J. 2005: Predicting the outcome of distal radius fractures. Hand Clinics 21(3): 289-294

Shakil, A.O. 2005: Predicting the outcome of fulminant hepatic failure. Liver Transplantation: Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society 11(9): 1028-1030

Craig, R.J.; Olson, R.E. 2003: Predicting the outcome of methadone maintenance treatment with the Negative Treatment Indicators content scale from the MMPI-2. Psychological Reports 93(3 Part 2): 1056-1058

De Franchis, R. 2004: Predicting the outcome of nonvariceal upper Gi bleeding: can we guess right?. Digestive and Liver Disease: Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 36(4): 248-250

Hamidon, B. 2006: Predicting the outcome of percutaneous endoscopic gastrostomy tube feeding. Singapore Medical Journal 47(11): 1013

Smith, A.; Smith, R.; Sanders, R.; Weinman, B.; Kenny, J.; Fitzgerald, B. 1963: Predicting the outcome of social therapy with chronic psychotics. Journal of Abnormal and Social Psychology 66: 351-357

Misra, A.; Jain, A.; Ghazanfar, R.; Johnston, T.; Nanchahal, J. 2007: Predicting the outcome of surgery for the proximal interphalangeal joint in Dupuytren's disease. Journal of Hand Surgery 32(2): 240-245

Lingard, E.A.; Katz, J.N.; Wright, E.A.; Sledge, C.B.; Gillespie, W.; Howie, C.; Annan, I.; Gibson, A.; Lane, J.; Pinder, I.; Weir, D.; Brewster, N.; Bettinson, K.; Needhoff, M.; Jackson, R.; Wilton, T.; Howard, P.; Forster, I.; Szyprt, P.; Moran, C.; Whitaker, D.; Bullock, M.; Hinchcliffe, Z.; Learmonth, I.; Newman, J.; Ackroyd, C.; Langkamer, G.; Spencer, R.; Shannon, M.; Smith, E.; Dixon, J.; Whitehouse, S.; Sledge, C.; Ewald, F.; Poss, R.; Wright, J.; Martin, S.; Kwon, J.; Valderamma, Y.; Harwin, S.; Lichardi, M.; Mehlhoff, M.; Weiler, L.; Cahalan, T.; Cronk, R.; Sandago, A.; Rackemann, S.; McLaughlin, E.; Lewis, P.; Bauze, R.; Morrison, G.; Stevenson, T.; Stirling, J. 2004: Predicting the outcome of total knee arthroplasty. Journal of Bone and Joint Surgery. American Volume 86(10): 2179-2186

Caron, G.; Ermondi, G.; Testa, B. 2007: Predicting the oxidative metabolism of statins: an application of the Meta Site algorithm. Pharmaceutical Research 24(3): 480-501

Jetten, J.; Branscombe, N.R.; Spears, R.; McKimmie, B.M. 2003: Predicting the paths of peripherals: the interaction of identification and future possibilities. Personality and Social Psychology Bulletin 29(1): 130-140

Ho, A.; Manns, F.; Therese; Parel, J.-M. 2006: Predicting the performance of accommodating intraocular lenses using ray tracing. Journal of Cataract and Refractive Surgery 32(1): 129-136

Vohra, H.A.; Laker, S.; Stumper, O.; De Giovanni, J.V.; Wright, J.G.; Barron, D.J.; Brawn, W.J. 2006: Predicting the performance of mitral prostheses implanted in children under 5 years of age. European journal of cardio-thoracic surgery: official journal of the European Association for Cardio-thoracic Surgery 29(5): 688-692

Adams, T.E.; Everse, S.J.; Mann, K.G. 2003: Predicting the pharmacology of thrombin inhibitors. Journal of Thrombosis and Haemostasis: Jth 1(5): 1024-1027

Chen, F.; Terada, K.; Hanada, K.; Saito, I. 2005: Predicting the pharyngeal airway space after mandibular setback surgery. Journal of Oral and Maxillofacial Surgery: Official Journal of the American Association of Oral and Maxillofacial Surgeons 63(10): 1509-1514

Zhao, H.; Morgado, P.; Gil-Villegas, A.; McCabe, C. 2006: Predicting the phase behavior of nitrogen + n-alkanes for enhanced oil recovery from the SAFT-VR approach: examining the effect of the quadrupole moment. Journal of Physical Chemistry. B 110(47): 24083-24092

Mejía-Rosales, S.J.; Gil-Villegas, A.; Ivlev, B.I.; Ruiz-García, J. 2006: Predicting the phase diagram of two-dimensional colloidal systems with long-range interactions. Journal of Physical Chemistry. B 110(44): 22230-22236

Thompson, R.B. 2006: Predicting the phases of a two-dimensional hard-rod system with real-space self-consistent field theory. Physical Review. E Statistical Nonlinear and Soft Matter Physics 74(4 Part 1): 041501

Senawongse, P.; Dalby, A.R.; Yang, Z.R. 2005: Predicting the phosphorylation sites using hidden Markov models and machine learning methods. Journal of Chemical Information and Modeling 45(4): 1147-1152

Blower, S.M.; Bodine, E.N.; Grovit-Ferbas, K. 2005: Predicting the potential public health impact of disease-modifying HIV vaccines in South Africa: the problem of subtypes. Current Drug Targets. Infectious Disorders 5(2): 179-192

Kostewicz, E.S.; Wunderlich, M.; Brauns, U.; Becker, R.; Bock, T.; Dressman, J.B. 2004: Predicting the precipitation of poorly soluble weak bases upon entry in the small intestine. Journal of Pharmacy and Pharmacology 56(1): 43-51

Lee, J.E. 2005: Predicting the presence of parathyroid carcinoma. Annals of Surgical Oncology 12(7): 513-514

Kawasaki, Y.; Suzuki, J.; Sakai, N.; Tanji, M.; Suzuki, H. 2003: Predicting the prognosis of renal dysfunction by renal expression of alpha-smooth muscle actin in children with MPGN type 1. American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation 42(6): 1131-1138

Arratia, P.E.; Gollub, J.P. 2006: Predicting the progress of diffusively limited chemical reactions in the presence of chaotic advection. Physical Review Letters 96(2): 024501

Weiss, J.M.; Willis, B.B.; Jones, J.M.; Schaie, K.W.; Robins, A.J.; Fields, G.L. 1961: Predicting the psychiatric problems of older persons: a follow-up study. Comprehensive Psychiatry 2: 350-357

Au, A.; Li, P.; Chan, J.; Lui, C.; Ng, P.; Kwok, A.; Leung, P. 2002: Predicting the quality of life in Hong Kong Chinese adults with epilepsy. Epilepsy and Behavior: E&b 3(4): 350-357

Scharff, L.F.V.; Ahumada, A.J. 2002: Predicting the readability of transparent text. Journal of Vision 2(9): 653-666

de Vries, C.; Yu, C.T.; Sakko, G.; Wirth, K.M.; Walters, K.L.; Marion, C.; Martin, G.L. 2005: Predicting the relative efficacy of verbal, pictorial, and tangible stimuli for assessing preferences of leisure activities. American Journal of Mental Retardation: Ajmr 110(2): 145-154

Laukkanen, M.; Santtila, P. 2006: Predicting the residential location of a serial commercial robber. Forensic science international 157(1): 71-82

Woodcraft, A.L.; Sudiwala, R.V.; Ade, P.A.R.; Griffin, M.J.; Wakui, E.; Bhatia, R.S.; Lange, A.E.; Bock, J.J.; Turner, A.D.; Yun, M.H.; Beeman, J.W. 2003: Predicting the response of a submillimeter bolometer to cosmic rays. Applied Optics 42(25): 5009-5016

McCall, W.V.; Fink, M. 2005: Predicting the response to ECT. Journal of Ect 21(3): 137-138

Shigemura, N.; Akashi, A.; Nakagiri, T.; Ohta, M.; Matsuda, H. 2004: Predicting the response to lung volume reduction surgery using scintigraphy. Asian Cardiovascular and Thoracic Annals 12(1): 33-37

Johnston, J.J.E. 2004: Predicting the result of our X-rays, a way to identify overuse? the Ulster Hospital Dundonald. European Journal of Emergency Medicine: Official Journal of the European Society for Emergency Medicine 11(5): 273-276

Viale, G.; Maiorano, E.; Pruneri, G.; Mastropasqua, M.G.; Valentini, S.; Galimberti, V.; Zurrida, S.; Maisonneuve, P.; Paganelli, G.; Mazzarol, G. 2005: Predicting the risk for additional axillary metastases in patients with breast carcinoma and positive sentinel lymph node biopsy. Annals of Surgery 241(2): 319-325

Ambegaonkar, A.; Livengood, K.; Craig, T.; Day, D. 2004: Predicting the risk for gastrointestinal toxicity in patients taking NSAIDs: the Gastrointestinal Toxicity Survey. Advances in Therapy 21(5): 288-300

Smith, G.C.S.; White, I.R. 2006: Predicting the risk for sudden infant death syndrome from obstetric characteristics: a retrospective cohort study of 505,011 live births. Pediatrics 117(1): 60-66

Hakala, T.; Hedman, A. 2003: Predicting the risk of atrial fibrillation after coronary artery bypass surgery. Scandinavian Cardiovascular Journal: Scj 37(6): 309-315

Purse, B.V.; Baylis, M.; Tatem, A.J.; Rogers, D.J.; Mellor, P.S.; Van Ham, M.; Chizov-Ginzburg, A.; Braverman, Y. 2004: Predicting the risk of bluetongue through time: climate models of temporal patterns of outbreaks in Israel. Revue Scientifique et Technique 23(3): 761-775

Spielmann, H. 2005: Predicting the risk of developmental toxicity from in vitro assays. Toxicology and Applied Pharmacology 207(2): 375-380

Meyer, G.; Köpke, S.; Bender, R.; Mühlhauser, I. 2005: Predicting the risk of falling--efficacy of a risk assessment tool compared to nurses' judgement: a cluster-randomised controlled trial [ISRCTN37794278. Bmc Geriatrics 5: 14

Wagner, J.T.; Bachmann, L.M.; Boult, C.; Harari, D.; von Renteln-Kruse, W.; Egger, M.; Beck, J.C.; Stuck, A.E. 2006: Predicting the risk of hospital admission in older persons--validation of a brief self-administered questionnaire in three European countries. Journal of the American Geriatrics Society 54(8): 1271-1276

Georgoulas, G.; Stylios, C.D.; Groumpos, P.P. 2006: Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines. IEEE Transactions on Bio-Medical Engineering 53(5): 875-884

Ebell, M.H. 2005: Predicting the risk of prostate cancer on biopsy. American Family Physician 72(6): 1091-1092

Ebell, M.H. 2005: Predicting the risk of recurrence after surgery for prostate cancer. American Family Physician 72(12): 2511-2512

Palareti, G.; Cosmi, B. 2004: Predicting the risk of recurrence of venous thromboembolism. Current Opinion in Hematology 11(3): 192-197

Paige, K.T.; Cohen, S.R.; Simms, C.; Burstein, F.D.; Hudgins, R.; Boydston, W. 2003: Predicting the risk of reoperation in metopic synostosis: a quantitative CT scan analysis. Annals of Plastic Surgery 51(2): 167-172

Keogh, J. 2006: Predicting the risk of sudden infant death syndrome from obstetric characteristics. Pediatrics 117(1): 210-211

Harrington, K.; Fayyad, A.; Nicolaides, K.H. 2004: Predicting the severity of fetal anemia using time-domain measurement of volume flow in the fetal aorta. Ultrasound in Obstetrics and Gynecology: the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology 23(5): 437-441

Barnard, A.S.; Curtiss, L.A. 2006: Predicting the shape and structure of face-centered cubic gold nanocrystals smaller than 3 nm. Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry 7(7): 1544-1553

De Ridder, D.; Leseman, P.; de Rijk, A. 2004: Predicting the short-term course of fatigue symptoms: does adjustment of habitual coping strategies matter?. British Journal of Health Psychology 9(Part 1): 67-80

Timmers, R. 2005: Predicting the similarity between expressive performances of music from measurements of tempo and dynamics. Journal of the Acoustical Society of America 117(1): 391-399

Ring, B.Z.; Ross, D.T. 2005: Predicting the sites of metastases. Genome Biology 6(12): 241

Baker, J.; Preston, C. 2003: Predicting the spread of herbicide resistance in Australian canola fields. Transgenic Research 12(6): 731-737

Alireza Ayatollahi, S.; Mohammadpoorasl, A.; Rajaeifard, A. 2005: Predicting the stages of smoking acquisition in the male students of Shiraz's high schools, 2003. Nicotine and Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco 7(6): 845-851

Trost, B.M.; Machacek, M.R.; Aponick, A. 2006: Predicting the stereochemistry of diphenylphosphino benzoic acid (DPPBA)-based palladium-catalyzed asymmetric allylic alkylation reactions: a working model. Accounts of Chemical Research 39(10): 747-760

Keyak, J.H.; Kaneko, T.S.; Rossi, S.A.; Pejcic, M.R.; Tehranzadeh, J.; Skinner, H.B. 2005: Predicting the strength of femoral shafts with and without metastatic lesions. Clinical Orthopaedics and Related Research 439: 161-170

Scott, M.S.; Oomen, R.; Thomas, D.Y.; Hallett, M.T. 2006: Predicting the subcellular localization of viral proteins within a mammalian host cell. Virology Journal 3: 24

Waterman, A.S.; Schwartz, S.J.; Goldbacher, E.; Green, H.; Miller, C.; Philip, S. 2003: Predicting the subjective experience of intrinsic motivation: the roles of self-determination, the balance of challenges and skills, and self-realization values. Personality and Social Psychology Bulletin 29(11): 1447-1458

Knoop, H.; Kan, C.C.; Mickers, F.C.; Barnhoorn, D. 2006: Predicting the success of a benzodiazepine discontinuation programme: myths or clinical wisdom?. Tijdschrift Voor Psychiatrie 48(9): 695-703

Wong, D.F.; Pomper, M.G. 2003: Predicting the success of a radiopharmaceutical for in vivo imaging of central nervous system neuroreceptor systems. Molecular Imaging and Biology 5(6): 350-362

Shike, M. 2006: Predicting the success of percutaneous endoscopic jejunostomy placement: the endoscope light outshines the CT scan. Gastrointestinal Endoscopy 63(3): 431-432

Ceder, L. 2005: Predicting the success of rehabilitation following hip fractures. Disability and Rehabilitation 27(18-19): 1073-1080

Goldstein, H.J.; Katko, J.A.; Zehner, R.W. 1955: Predicting the success of training amblyopes. American Journal of Optometry and Archives of American Academy of Optometry 32(1): 3-9

D'Augelli, A.R.; Grossman, A.H.; Salter, N.P.; Vasey, J.J.; Starks, M.T.; Sinclair, K.O. 2005: Predicting the suicide attempts of lesbian, gay, and bisexual youth. Suicide and Life-Threatening Behavior 35(6): 646-660

Verwaal, V.J.; van Tinteren, H.; van Ruth, S.; Zoetmulder, F.A.N. 2004: Predicting the survival of patients with peritoneal carcinomatosis of colorectal origin treated by aggressive cytoreduction and hyperthermic intraperitoneal chemotherapy. British Journal of Surgery 91(6): 739-746

Hamstra, S.J. 2006: Predicting the technical competence of surgical residents. Clinical orthopaedics and related research 449: 62-66

Prasher, R. 2005: Predicting the thermal resistance of nanosized constrictions. Nano Letters 5(11): 2155-2159

Xu, Y.; Collins, L.M. 2004: Predicting the threshold of pulse-train electrical stimuli using a stochastic auditory nerve model: the effects of stimulus noise. IEEE Transactions on Bio-Medical Engineering 51(4): 590-603

Xu, Y.; Collins, L.M. 2003: Predicting the threshold of single-pulse electrical stimuli using a stochastic auditory nerve model: the effects of noise. IEEE Transactions on Bio-Medical Engineering 50(7): 825-835

Panchanadeswaran, S.; McCloskey, L.A. 2007: Predicting the timing of women's departure from abusive relationships. Journal of Interpersonal Violence 22(1): 50-65

Berry, W.J.; Boothman, W.S.; Serbst, J.R.; Edwards, P.A. 2004: Predicting the toxicity of chromium in sediments. Environmental Toxicology and Chemistry 23(12): 2981-2992

Charles, K.A.; Rivory, L.P.; Stockler, M.R.; Beale, P.; Beith, J.; Boyer, M.; Clarke, S.J. 2006: Predicting the toxicity of weekly docetaxel in advanced cancer. Clinical Pharmacokinetics 45(6): 611-622

Glaser, J.; Garets, D. 2006: Predicting the tune at HIMSS. Two industry leaders are expecting business as usual at the upcoming healthcare technology show. Healthcare Informatics: the Business Magazine for Information and Communication Systems 23(2): 80-81

Zeigler, J. 2006: Predicting the unpredictable: PPE planning for a natural disaster. Occupational Health and Safety 75(8): 82

Launay, F.; Viehweger, E.; Hamel, A.; Minodier, P.; Le Hors-Albouze, H.; Jouve, J.L. 2004: Predicting the use of Emla cream by the triage nurse in a paediatric emergency department. Archives de Pediatrie: Organe Officiel de la Societe Francaise de Pediatrie 11(10): 1163-1167

Clément, M.-E.; Bouchard, C. 2005: Predicting the use of single versus multiple types of violence towards children in a representative sample of Quebec families. Child Abuse and Neglect 29(10): 1121-1139

Conlon, S.C.; Hambric, S.A. 2003: Predicting the vibroacoustic response of satellite equipment panels. Journal of the Acoustical Society of America 113(3): 1455-1474

Bonanno, G.A.; Noll, J.G.; Putnam, F.W.; O'Neill, M.; Trickett, P.K. 2003: Predicting the willingness to disclose childhood sexual abuse from measures of repressive coping and dissociative tendencies. Child Maltreatment 8(4): 302-318

Yates, J.; James, D. 2006: Predicting the "strugglers": a case-control study of students at Nottingham University Medical School. Bmj 332(7548): 1009-1013

Hachamovitch, R.; Rozanski, A.; Hayes, S.W.; Thomson, L.E.J.; Germano, G.; Friedman, J.D.; Cohen, I.; Berman, D.S. 2006: Predicting therapeutic benefit from myocardial revascularization procedures: are measurements of both resting left ventricular ejection fraction and stress-induced myocardial ischemia necessary?. Journal of Nuclear Cardiology: Official Publication of the American Society of Nuclear Cardiology 13(6): 768-778

Schoenwald, S.K.; Letourneau, E.J.; Halliday-Boykins, C. 2005: Predicting therapist adherence to a transported family-based treatment for youth. Journal of Clinical Child and Adolescent Psychology: the Official Journal for the Society of Clinical Child and Adolescent Psychology American Psychological Association Division 34(4): 658-670

Morillo, C.A. 2006: Predicting therapy duration and recurrence in patients with vasovagal syncope: is there light at the end of the tunnel?. Arquivos Brasileiros de Cardiologia 86(4): 249-250

Wessel, N.; Konvicka, J.; Weidermann, F.; Nestmann, S.; Neugebauer, R.; Schwarz, U.; Wessel, A.; Kurths, J.ür. 2004: Predicting thermal displacements in modular tool systems. Chaos 14(1): 23-29

Singh, R.; Hunter, J.; Philip, A.; Todd, I. 2006: Predicting those who will walk after rehabilitation in a specialist stroke unit. Clinical Rehabilitation 20(2): 149-152

Reynolds, R.F. 2004: Predicting time to menopause using self-reported menstrual data. Menopause 11(1): 5-6

Rohde, P.; Seeley, J.R.; Kaufman, N.K.; Clarke, G.N.; Stice, E. 2006: Predicting time to recovery among depressed adolescents treated in two psychosocial group interventions. Journal of Consulting and Clinical Psychology 74(1): 80-88

Tsai, P.S.; Dowidar, A.; Naseri, A.; McLeod, S.D. 2004: Predicting time to refractive stability after discontinuation of rigid contact lens wear before refractive surgery. Journal of Cataract and Refractive Surgery 30(11): 2290-2294

Gold, R.; Connell, F.A.; Heagerty, P.; Cummings, P.; Bezruchka, S.; Davis, R.; Cawthon, M.L. 2005: Predicting time to subsequent pregnancy. Maternal and Child Health Journal 9(3): 219-228

Gross, D.P.; Battié, M.C. 2005: Predicting timely recovery and recurrence following multidisciplinary rehabilitation in patients with compensated low back pain. Spine 30(2): 235-240

Hickey, L.M.; Farris, K.B.; Peterson, N.A.; Aquilino, M.L. 2006: Predicting tobacco sales in community pharmacies using population demographics and pharmacy type. Journal of the American Pharmacists Association: Japha 46(3): 385-390

Brander, V.A.; Stulberg, S.D.; Adams, A.D.; Harden, R.N.; Bruehl, S.; Stanos, S.P.; Houle, T. 2003: Predicting total knee replacement pain: a prospective, observational study. Clinical Orthopaedics and Related Research 416: 27-36

Guentert, T.W. 1989: Predicting toxicity during 5-fluorocytosine (5-FC) therapy by plasma level monitoring: a lesson to learn from cytostatic 5-fluorouracil (5 FU) pro-drugs. Journal of ChemoTherapy 1(4 Suppl): 1287-1289

Boulesteix, A.-L.; Strimmer, K. 2005: Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach. Theoretical Biology and Medical Modelling 2: 23

Defrance, M.; Touzet, Hélène. 2006: Predicting transcription factor binding sites using local over-representation and comparative genomics. Bmc Bioinformatics 7: 396

Bigelow, H.R.; Petrey, D.S.; Liu, J.; Przybylski, D.; Rost, B. 2004: Predicting transmembrane beta-barrels in proteomes. Nucleic Acids Research 32(8): 2566-2577

Staats, S.; Panek, P.E.; Cosmar, D. 2006: Predicting travel attitudes among university faculty after 9/11. Journal of Psychology 140(2): 121-132

Berger, B.A.; Hudmon, K.S.; Liang, H. 2004: Predicting treatment discontinuation among patients with multiple sclerosis: application of the transtheoretical model of change. Journal of the American Pharmacists Association: Japha 44(4): 445-454

Leypoldt, J.K.; Jaber, B.L.; Zimmerman, D.L. 2004: Predicting treatment dose for novel therapies using urea standard Kt/V. Seminars in Dialysis 17(2): 142-145

Sung, H.-E.; Belenko, S.; Feng, L.; Tabachnick, C. 2004: Predicting treatment noncompliance among criminal justice-mandated clients: a theoretical and empirical exploration. Journal of Substance Abuse Treatment 26(1): 315-328

Lukasiewicz, E.; Hellstrand, K.; Westin, J.; Ferrari, C.; Neumann, A.U.; Pawlotsky, J.-M.; Schalm, S.W.; Zeuzem, S.; Veldt, B.J.; Hansen, B.E.; Verhey-Hart, E.; Lagging, M. 2007: Predicting treatment outcome following 24 weeks peginterferon alpha-2a/ribavirin therapy in patients infected with HCV genotype 1: utility of HCV-RNA at day 0, day 22, day 29, and week 6. Hepatology 45(1): 258-259

Karatzias, A.; Power, K.; McGoldrick, T.; Brown, K.; Buchanan, R.; Sharp, D.; Swanson, V. 2007: Predicting treatment outcome on three measures for post-traumatic stress disorder. European Archives of Psychiatry and Clinical Neuroscience 257(1): 40-46

Chan, Y.-C.; Wilder-Smith, E. 2006: Predicting treatment response in chronic, acquired demyelinating neuropathies. Expert Review of Neurotherapeutics 6(10): 1545-1553

Arias-Mendoza, F.; Smith, M.R.; Brown, T.R. 2004: Predicting treatment response in non-Hodgkin's lymphoma from the pretreatment tumor content of phosphoethanolamine plus phosphocholine. Academic Radiology 11(4): 368-376

Iwasaki, T.; Sano, H. 2003: Predicting treatment responses and disease progression in myeloma using serum vascular endothelial growth factor and hepatocyte growth factor levels. Leukemia and Lymphoma 44(8): 1347-1351

Dearing, S.G. 2006: Predicting treatment time. American Journal of Orthodontics and Dentofacial Orthopedics: Official Publication of the American Association of Orthodontists its Constituent Societies and the American Board of Orthodontics 129(6): 718; Author Reply 718

Kingston, M.; Huber, A.; Onslow, M.; Jones, M.; Packman, A. 2003: Predicting treatment time with the Lidcombe Program: replication and meta-analysis. International Journal of Language and Communication Disorders 38(2): 165-177

Yentis, S.M. 2006: Predicting trouble in airway management. Anesthesiology 105(5): 871-872

Maddox, W.T.; Estes, W.K. 2004: Predicting true patterns of cognitive performance from noisy data. Psychonomic Bulletin and Review 11(6): 1129-1135

Eichelberger, L.E.; Koch, M.O.; Daggy, J.K.; Ulbright, T.M.; Eble, J.N.; Cheng, L. 2003: Predicting tumor volume in radical prostatectomy specimens from patients with prostate cancer. American Journal of Clinical Pathology 120(3): 386-391

Achenbach, P.; Bonifacio, E.; Ziegler, A.-G. 2005: Predicting type 1 diabetes. Current Diabetes Reports 5(2): 98-103

Bass, B.M.; Avolio, B.J.; Jung, D.I.; Berson, Y. 2003: Predicting unit performance by assessing transformational and transactional leadership. Journal of Applied Psychology 88(2): 207-218

Flynn, M.; Ogden, J. 2004: Predicting uptake of MMR vaccination: a prospective questionnaire study. British Journal of General Practice: the Journal of the Royal College of General Practitioners 54(504): 526-530

Lieberman, D.Z.; Quinones-Cardona, V.; Williams, K.P. 2006: Predicting user preferences for educational content based on the results of an automated evaluation for alcohol use problems. AMIA .. Annual Symposium Proceedings. AMIA Symposium 2006: 1009

Goldstein, S.R. 2007: Predicting uterine weight before hysterectomy: ultrasound measurements vs clinical assessment. American Journal of Obstetrics and Gynecology 196(3): E16

Soultati, A.S.; Dourakis, S.P.; Alexopoulou, A.; Deutsch, M.; Vasilieva, L.; Archimandritis, A.J. 2006: Predicting utility of a model for end stage liver disease in alcoholic liver disease. World Journal of Gastroenterology 12(25): 4020-4025

Bradbury, J. 2004: Predicting vaccination behaviour. Lancet. Infectious Diseases 4(10): 600

Beridze, M.; Shakarishvili, R. 2006: Predicting value of cerebrospinal fluid proinflammatory factors in acute phase of ischemic stroke. Georgian Medical News 132: 53-57

Oxford, M.L.; Gilchrist, L.D.; Gillmore, M.R.; Lohr, M.J. 2006: Predicting variation in the life course of adolescent mothers as they enter adulthood. Journal of Adolescent Health: Official Publication of the Society for Adolescent Medicine 39(1): 20-26

Lewis, S.; MacLeod, M.; McKnight, J.; Morris, A.; Peden, N.; Prescott, R.; Walker, J. 2005: Predicting vascular risk in Type 1 diabetes: stratification in a hospital based population in Scotland. Diabetic Medicine: a Journal of the British Diabetic Association 22(2): 164-171

Brzoza, D.; Barrera, N.; Contasti, G.; Hernández, A. 2005: Predicting vertical dimension with cephalograms, for edentulous patients. Gerodontology 22(2): 98-103

Petosa, R.L.; Suminski, R.; Hortz, B. 2003: Predicting vigorous physical activity using social cognitive theory. American Journal of Health Behavior 27(4): 301-310

Baker, S.D.; Sparreboom, A. 2006: Predicting vinorelbine disposition and toxicity: does BSA provide more than a "bad statistical association"?. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 24(16): 2412-2413

Loza, W.; Dhaliwal, G.K. 2005: Predicting violence among forensic-correctional populations: the past 2 decades of advancements and future endeavors. Journal of Interpersonal Violence 20(2): 188-194

Liu, D.-F.; Yu, T.-T.; Song, B.; Ran, X.-W. 2006: Predicting visceral and abdominal subcutaneous adipose areas with anthropometric parameters in Chinese male patients with type 2 diabetes. Sichuan da Xue Xue Bao. Yi Xue Ban 37(6): 943-946

Theodorou, M. 2006: Predicting visual acuity in early onset nystagmus. Seminars in Ophthalmology 21(2): 97-101

Magder, S. 2006: Predicting volume responsiveness in spontaneously breathing patients: still a challenging problem. Critical Care 10(5): 165

Daniels, T.M.; Mickel, E. 2002: Predicting weekly earning for consumers with severe disabilities: implications for welfare reform and vocational rehabilitation. Journal of Health and Social Policy 16(1-2): 69-79

Garrouste-Orgeas, M.é; Carlet, J. 2005: Predicting whether the ICU can help older patients: score needed. Critical Care 9(4): 331-332

Sowar, K.; Straessle, J.; Donson, A.M.; Handler, M.; Foreman, N.K. 2006: Predicting which children are at risk for ependymoma relapse. Journal of Neuro-Oncology 78(1): 41-46

Kain, Z.N.; Mayes, L.C.; Caldwell-Andrews, A.A.; Saadat, H.; McClain, B.; Wang, S.-M. 2006: Predicting which children benefit most from parental presence during induction of anesthesia. Paediatric Anaesthesia 16(6): 627-634

Hilton, N.Z.; Harris, G.T. 2005: Predicting wife assault: a critical review and implications for policy and practice. Trauma Violence and Abuse 6(1): 3-23

Myklestad, I.; Rise, J. 2007: Predicting willingness to engage in unsafe sex and intention to perform sexual protective behaviors among adolescents. Health Education and Behavior: the Official Publication of the Society for Public Health Education 34(4): 686-699

Frank, S.L.; Koppen, M.; Noordman, L.G.M.; Vonk, W. 2005: Predicting without modeling: a critique of Trabasso and Bartolone (2003). Journal of Experimental Psychology. Learning Memory and Cognition 31(2): 374-377

Vowles, K.E.; Gross, R.T.; Sorrell, J.T. 2004: Predicting work status following interdisciplinary treatment for chronic pain. European Journal of Pain 8(4): 351-358

Hershcovis, M.S.; Turner, N.; Barling, J.; Arnold, K.A.; Dupré, K.E.; Inness, M.; LeBlanc, M.M.; Sivanathan, N. 2007: Predicting workplace aggression: a meta-analysis. Journal of Applied Psychology 92(1): 228-238

Wade, T.D.; Nehmy, T.; Koczwara, B. 2005: Predicting worries about health after breast cancer surgery. Psycho-Oncology 14(6): 503-509

Klonoff, E.A.; Landrine, H. 2004: Predicting youth access to tobacco: the role of youth versus store-clerk behavior and issues of ecological validity. Health Psychology: Official Journal of the Division of Health Psychology American Psychological Association 23(5): 517-524

Cormier, J.M.; Stitzel, J.D.; Hurst, W.J.; Porta, D.J.; Jones, J.; Duma, S.M. 2006: Predicting zygoma fractures from baseball impact. Biomedical Sciences Instrumentation 42: 142-147

Bristow, R.E. 2006: Predicting "unresectable" ovarian cancer: Taking aim at a moving target. Gynecologic Oncology 100(3): 449-450

Bernard, J. 1964: Prediction from Human Fetal Measures. Child Development 35: 1243-1248

Bajic, V.B.; Charn, T.H.; Xu, J.X.; Panda, S.K.; T Krishnan, S.P. 2005: Prediction Models for DNA Transcription Termination Based on SOM Networks. Conference Proceedings: . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2005: 4791-4794

Mclennan, M.T.; Mclennan, C.E. 1965: Prediction of Abortion from Vaginal Wall Cytologic Smears. American Journal of Obstetrics and Gynecology 92: 620-628

Morman, R.R.; Liddle, L.R.; Heywood, H.L. 1965: Prediction of Academic Achievement of Nursing Students: a Theoretical Study, Using the Tav Selection System. Nursing Research 14: 227-230

Anderson, L.R.; Fishbein, M. 1965: Prediction of Attitude from the Number, Strength, and Evaluative Aspect of Beliefs about the Attitude Object: a Comparison of Summation and Congruity Theories. Journal of Personality and Social Psychology 2: 437-443

Arzt, G.H.; Petersen, K. 1965: Prediction of Blood Gas Values after Surgery on the Lung from Preoperative Lung Function Data by Regression Analysis. Beitrage Zur Klinik der Tuberkulose und Spezifischen Tuberkulose-Forschung 129: 269-281

Scherding, J.P. 1965: Prediction of Failure of Antibiotic Therapy in Psychosomatic Perspective. Marseille Medical 102: 161-168

Bodin, A.M.; Crapsi, L.A.; Deak, M.R.; Morday, T.R.; Rust, L.D. 1965: Prediction of Free Recall from Word-Association Measures: a Replication. Journal of Experimental Psychology 69: 103-105

Moulinier, J. 1963: Prediction of Hemolytic Disease of the Newborn by the Maternal Reticulocyte Index. Revue Francaise de Gynecologie et d'Obstetrique 58: 787-798

Endicott, N.A.; Endicott, J. 1964: Prediction of Improvement in Treated and Untreated Patients using the Rorschach Prognostic Rating Scale. Journal of Consulting Psychology 28: 342-348

Pospisil, M.; Ueno, Y. 1964: Prediction of Individual Differences in Radiosensitivity in Mice: Testicular Atrophy, Mortality and Weight Changes. Folia Biologica 10: 232-238

Fishbein, M. 1965: Prediction of Interpersonal Preferences and Group Member Satisfaction from Estimated Attitudes. Journal of Personality and Social Psychology 1: 663-667

Oriol, A.; Palmer, W.H.; Nakhjavan, F.; Mcgregor, M. 1965: Prediction of Left Atrial Pressure from the Second Sound-Opening Snap Interval. American Journal of Cardiology 16: 184-188

Lorei, T.W. 1964: Prediction of Length of Stay out of the Hospital for Released Psychiatric Patients. Journal of Consulting Psychology 28: 358-363

Edwards, A.L. 1964: Prediction of mean Scores on Mmpi Scales. Journal of Consulting Psychology 28: 183-185

Hood, A.B. 1965: Prediction of Medical School Attendance from College Freshman Svibs. Journal of applied psychology 49: 110-111

Welch, M. 1963: Prediction of Motor Skill Attainment from Early Learning. Perceptual and Motor Skills 17: 263-266

Wagner, J.G.; Alway, C.D. 1964: Prediction of Multiple Dose Serum Levels of 'lincocin' from Single Dose Serum Levels when 'linocin' (As the Hydrochloride) Was Administered by Constant Rate Intravenous Infusion. Nature 201: 1101-1103

Garrett, E.R.; Schroeder, W. 1964: Prediction of Stability in Pahrmaceutical Preparations. 13. Stability, Spectrophotometric , and Biological Assay of the Antibiotic Porfiromycin in Pharmaceutically Useful Ph Ranges. Journal of Pharmaceutical Sciences 53: 917-923

Garrett, E.R. 1964: Prediction of Stability in Pharmaceutical Preparations. Xii. Solvolysis of Various Alkyl Sydnones. Journal of Pharmaceutical Sciences 53: 42-51

Conger, J.J.; Fitz, R.H. 1963: Prediction of Success in Medical School. Journal of Medical Education 38: 943-948

Stott, D.H. 1964: Prediction of Success or Failure on Probation: a Follow-Up Study. International Journal of Social Psychiatry 10: 27-29

White, W.F.; Wash, J.A. 1965: Prediction of Successful College Academic Performance from Measures of Body-Cathexis, Self-Cathexis and Anxiety. Perceptual and motor skills 20: 431-432

Jackson, S.K.; Butler, A.J. 1963: Prediction of Successful Community Placement of Institutionalized Retardates. American Journal of Mental Deficiency 68: 211-217

Hasue, M.; Udagawa, E.; Minamura, H. 1964: Prediction of the Occurrence of Residual Subluxation in the Non-Surgical Treatment of Congenital Hip Dislocation. Nihon Seikeigeka Gakkai Zasshi 38: 578-580

Hulth, A. 1965: Prediction of the Viability of the Femoral Head in Femoral Neck Fractures: a Survey of different Predicting Methods. Acta Chirurgica Scandinavica 129: 72-80

Berger, R.A. 1965: Prediction of Total Dynamic Strength from Chinning and Dipping Strength. Journal of the Association for Physical and Mental Rehabilitation 19: 110-111

Cohen, T.B. 1963: Prediction of Underachievement in Kindergarten Children. Archives of General Psychiatry 9: 444-450

Dennerll, R.D. 1964: Prediction of Unilateral Brain Dysfunction using Wechsler test Scores. Journal of Consulting Psychology 28: 278-284

Howell, W.C.; Funaro, J.F. 1965: Prediction on the Basis of Conditional Probabilities. Journal of Experimental Psychology 69: 92-99

Gossett, C.Buck.; Preston, C.Brian.; Dunford, R.; Lampasso, J. 2005: Prediction accuracy of computer-assisted surgical visual treatment objectives as compared with conventional visual treatment objectives. Journal of oral and maxillofacial surgery: official journal of the American Association of Oral and Maxillofacial Surgeons 63(5): 609-617

Zhu, X.; Yao, J.; Li, H.; Han, S. 2006: Prediction among different spectroscopic properties for aqueous systems. Journal of Chemical Physics 124(24): 244501

Yoon, S.; De Micheli, G. 2005: Prediction and Analysis of Human microRNA Regulatory Modules. Conference Proceedings: . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2005: 4799-4802

Asai, K. 2005: Prediction and analyses of functional RNAs. Tanpakushitsu Kakusan Koso. Protein Nucleic Acid Enzyme 50(16 Suppl): 2282-2287

Pham, T.H.; Satou, K.; Ho, T.B. 2003: Prediction and analysis of beta-turns in proteins by support vector machine. Genome Informatics. International Conference on Genome Informatics 14: 196-205

Ruan, J.; El-Jawahri, R.; Chai, L.; Barbat, S.; Prasad, P. 2003: Prediction and analysis of human thoracic impact responses and injuries in cadaver impacts using a full human body finite element model. Stapp Car Crash Journal 47: 299-321

Van MELSEN, A. 1962: Prediction and causality. Nederlands Tijdschrift Voor de Psychologie en Haar Grensgebieden 17: 105-120

Ikeda, T.; Yamaguchi, M.; Meguro, D.; Kasai, K. 2004: Prediction and causes of open gingival embrasure spaces between the mandibular central incisors following orthodontic treatment. Australian Orthodontic Journal 20(2): 87-92

Wang, Y.F.; Chen, H.; Zhou, Y.H. 2005: Prediction and classification of human G-protein coupled receptors based on support vector machines. Genomics Proteomics and Bioinformatics 3(4): 242-246

Chou, K.-C.; Cai, Y.-D. 2003: Prediction and classification of protein subcellular location-sequence-order effect and pseudo amino acid composition. Journal of Cellular Biochemistry 90(6): 1250-1260

Lin, J.T. 2006: Prediction and control of corneal asphericity after refractive surgery. Journal of Refractive Surgery 22(9): 848-849

Baker, D. 2006: Prediction and design of macromolecular structures and interactions. Philosophical Transactions of the Royal Society of London. Series B Biological Sciences 361(1467): 459-463

Durosier, C.; Hans, D.; Krieg, M.-A.; Schott, A.-M. 2006: Prediction and discrimination of osteoporotic hip fracture in postmenopausal women. Journal of Clinical Densitometry: the Official Journal of the International Society for Clinical Densitometry 9(4): 475-495

Wahn, U.; Chuchalin, A.; Kowalski, M.L. 2004: Prediction and early diagnosis. Chemical Immunology and Allergy 84: 128-134

Robbins, H. 1977: Prediction and estimation for the compound Poisson distribution. Proceedings of the National Academy of Sciences of the United States of America 74(7): 2670-2671

Macys, A.; Kulakiene, I.; Kinduris, S.ūn.; Dumcius, A. 2004: Prediction and evaluation of surgical treatment results of severe ischemic heart disease. Medicina 40(Suppl 1): 57-60

Fraysse, B.; Garric, J. 2005: Prediction and experimental validation of acute toxicity of beta-blockers in Ceriodaphnia dubia. Environmental Toxicology and Chemistry 24(10): 2470-2476

Liu, H.-y.; Yao, D.-k.; Tu, X.-q.; Zhou, Y.; Zhu, Y.; Chen, Y.; Fan, L.-y.; Zhong, R.-q. 2004: Prediction and identification of autoepitopes of PDC-E2 specific CD8+ CTL in primary biliary cirrhosis patients. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. Acta Academiae Medicinae Sinicae 26(5): 500-504

Lin, C.-J.; Chin, C.-C. 2004: Prediction and identification using wavelet-based recurrent fuzzy neural networks. IEEE Transactions on Systems man and Cybernetics. Part B Cybernetics: a Publication of the IEEE Systems man and Cybernetics Society 34(5): 2144-2154

Matsuura, K.; Ogino, H.; Matsuda, H.; Minatoya, K.; Sasaki, H.; Kada, A.; Yagihara, T.; Kitamura, S. 2006: Prediction and incidence of atrial fibrillation after aortic arch repair. Annals of Thoracic Surgery 81(2): 514-518

Di, G.-Q.; Zhang, B.-J. 2005: Prediction and influence factors of the ramp's noise of the entrance or exit of garages. Huan Jing Ke Xue= Huanjing Kexue 26(5): 205-208

Zhang, D.; Hu, B.; Xiao, Y.; Zheng, H. 2006: Prediction and management about perilymph gusher in cochlear implantation. Lin Chuang Er Bi Yan Hou Ke Za Zhi 20(7): 295-296; 299

Diligent, O.; Lowe, M.J.S.; Le Clézio, E.; Castaings, M.; Hosten, B. 2003: Prediction and measurement of nonpropagating Lamb modes at the free end of a plate when the fundamental antisymmetric mode A0 is incident. Journal of the Acoustical Society of America 113(6): 3032-3042

Piech, M.; Weronski, Pł.; Wu, X.; Walz, J.Y. 2002: Prediction and measurement of the interparticle depletion interaction next to a flat wall. Journal of Colloid and Interface Science 247(2): 327-341

Gürlich, R.; Maruna, P.; Spicák, J. 2006: Prediction and monitoring of severe acute pancreatitis. Casopis Lekaru Ceskych 145(6): 437

Moore, K.; McCallion, R.; Searle, R.J.; Stacey, M.C.; Harding, K.G. 2006: Prediction and monitoring the therapeutic response of chronic dermal wounds. International Wound Journal 3(2): 89-96

Hynninen, A.-P.; Christova, C.G.; van Roij, R.; van Blaaderen, A.; Dijkstra, M. 2006: Prediction and observation of crystal structures of oppositely charged colloids. Physical Review Letters 96(13): 138308

Cruz Cabeza, A.J.; Day, G.M.; Motherwell, W.D.S.; Jones, W. 2006: Prediction and observation of isostructurality induced by solvent incorporation in multicomponent crystals. Journal of the American Chemical Society 128(45): 14466-14467

Grosso, M.; Crescitelli, S.; Somma, E.; Vermant, J.; Moldenaers, P.; Maffettone, P.L. 2003: Prediction and observation of sustained oscillations in a sheared liquid crystalline polymer. Physical Review Letters 90(9): 098304

Filevich, J.; Grava, J.; Purvis, M.; Marconi, M.C.; Rocca, J.J.; Nilsen, J.; Dunn, J.; Johnson, W.R. 2006: Prediction and observation of tin and silver plasmas with index of refraction greater than one in the soft x-ray range. Physical Review. E Statistical Nonlinear and Soft Matter Physics 74(1 Pt 2): 016404

Granger, C.B. 2006: Prediction and prevention of chemotherapy-induced cardiomyopathy: can it be done?. Circulation 114(23): 2432-2433

Sullivan, S.A.; Newman, R. 2004: Prediction and prevention of preterm delivery in multiple gestations. Clinical Obstetrics and Gynecology 47(1): 203-215

Giles, M.F.; Rothwell, P.M. 2006: Prediction and prevention of stroke after transient ischemic attack in the short and long term. Expert Review of Neurotherapeutics 6(3): 381-395

Savani, B.N.; Montero, A.; Wu, C.; Nlonda, N.; Read, E.; Dunbar, C.; Childs, R.; Solomon, S.; Barrett, A.John. 2005: Prediction and prevention of transplant-related mortality from pulmonary causes after total body irradiation and allogeneic stem cell transplantation. Biology of Blood and Marrow Transplantation: Journal of the American Society for Blood and Marrow Transplantation 11(3): 223-230

Makrilakis, K.; Katsilambros, N. 2003: Prediction and prevention of type 2 diabetes. Hormones 2(1): 22-34

Jensen, J.H.; Li, H.; Robertson, A.D.; Molina, P.A. 2005: Prediction and rationalization of protein pKa values using QM and QM/MM methods. Journal of Physical Chemistry. a 109(30): 6634-6643

Jäghagen, E.Levring.; Berggren, D.; Dahlqvist, A.; Isberg, A. 2004: Prediction and risk of dysphagia after uvulopalatopharyngoplasty and uvulopalatoplasty. Acta Oto-Laryngologica 124(10): 1197-1203

Kikkawa, Y.S.; Tsunoda, K.; Niimi, S. 2004: Prediction and surgical management of difficult laryngoscopy. Laryngoscope 114(4): 776-778

Seshimo, A.; Mitsuhashi, M.; Aratake, K.; Ogawa, S.; Itabashi, M.; Shirotani, N.; Kameoka, S. 2005: Prediction and treatment of peritoneal dissemination in gastric cancer. Gan to Kagaku Ryoho. Cancer and ChemoTherapy 32(10): 1393-1397

Pepe, P.; Galia, A.; Fraggetta, F.; Grasso, G.; Allegro, R.; Aragona, F. 2005: Prediction by quantitative histology of pathological stage in prostate cancer. European Journal of Surgical Oncology: the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 31(3): 309-313

Wang, M.-L.; Yao, H.; Xu, W.-B. 2005: Prediction by support vector machines and analysis by Z-score of poly-L-proline type Ii conformation based on local sequence. Computational Biology and Chemistry 29(2): 95-100

Boskabady, M.H.; Tashakory, A.; Mazloom, R.; Ghamami, G. 2004: Prediction equations for pulmonary function values in healthy young Iranians aged 8-18 years. Respirology 9(4): 535-542

Cruz-Mérida, A.ón.J.; Soto-de la Fuente, A.és.E.; Méndez-Vargas, M.ía.M.; Méndez-Ramírez, I. 2004: Prediction equations for spirometric parameters in Mexican adult population. Archives of Medical Research 35(5): 446-449

Molinaro, A.M.; Simon, R.; Pfeiffer, R.M. 2005: Prediction error estimation: a comparison of resampling methods. Bioinformatics 21(15): 3301-3307

Schoenberg, M.R.; Duff, K.; Scott, J.G.; Patton, D.; Adams, R.L. 2006: Prediction errors of the Oklahoma Premorbid Intelligence Estimate-3 (OPIE-3) stratified by 13 age groups. Archives of Clinical Neuropsychology: the Official Journal of the National Academy of Neuropsychologists 21(5): 469-475

Shu, H-Yee.; Lu, H-Chung.; Fan, H-Jung.; Chang, M-Chin.; Chen, J-Cherng. 2006: Prediction for energy content of Taiwan municipal solid waste using multilayer perceptron neural networks. Journal of the Air and Waste Management Association 56(6): 852-858

Dockstader, S.L.; Imennov, N.S. 2006: Prediction for human motion tracking failures. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society 15(2): 411-421

Nku, C.O.; Peters, E.J.; Eshiet, A.I.; Bisong, S.A.; Osim, E.E. 2006: Prediction formulae for lung function parameters in females of south eastern Nigeria. Nigerian Journal of Physiological Sciences: Official Publication of the Physiological Society of Nigeria 21(1-2): 43-47

Wang, J.; Wang, X. 2003: Prediction formulas for estimating body fat percent of obesity from bioelectrical impedance. Wei Sheng Yan Jiu 32(4): 386-389

Eriksen, C.W. 1957: Prediction from and interaction among multiple concurrent discriminative responses. Journal of Experimental Psychology 53(5): 353-359

Xing, X.-r.; Wei, F.-s.; Hu, W.; Wu, G.-p.; Wang, C.-l. 2006: Prediction human daily boron exposure by urine boron concentration. Huan Jing Ke Xue= Huanjing Kexue 27(6): 1208-1211

Rost, B. 2003: Prediction in 1D: secondary structure, membrane helices, and accessibility. Methods of Biochemical Analysis 44: 559-587

Hagerty, C.Greg.; Pickens, D.S.; Chang, J.; Kulikowski, C.A.; Sonnenberg, F.A. 2006: Prediction in annotation based guideline encoding. AMIA .. Annual Symposium Proceedings. AMIA Symposium 2006: 314-318

Kiruparan, P.; Forrest, L. 2007: Prediction in breast cancer of the extent of axillary node involvement from the size and lymphovascular invasion status of the primary tumour: medico-legal considerations. European Journal of Surgical Oncology: the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 33(4): 435-437

Myers, C.R. 1950: Prediction in clinical psychology. Canadian Journal of Psychology 4(3): 97-108

Stone, G.R. 1952: Prediction in clinical psychology and behavior theory. Psychological Review 59(2): 95-97

Wyatt, F. 1952: Prediction in the Rorschach test. Journal of Projective Techniques 16(2): 252-258

Robins, E.; Mensh, I.N. 1954: Prediction in the clinical method and interrelations of biochemistry, psychiatry, and psychology. Journal of Abnormal Psychology 49(3): 435-442

Etikan, I.; Caglar, M.K. 2005: Prediction methods for babies' birth weight using linear and nonlinear regression analysis. Technology and Health Care: Official Journal of the European Society for Engineering and Medicine 13(2): 131-135

Hanlon, M.; Anderson, R. 2006: Prediction methods to account for the effect of gait speed on lower limb angular kinematics. Gait and Posture 24(3): 280-287

Prasad, R.; Verma, S.K.; Agrawal, G.G.; Mathur, N. 2006: Prediction model for peak expiratory flow in North Indian population. Indian Journal of Chest Diseases and Allied Sciences 48(2): 103-106

Massy, Z.A.; Taupin, P.; Jungers, P.; Landais, P. 2005: Prediction model of coronary heart disease in patients with chronic kidney disease: role of plasma fibrinogen as a new prognostic variable. Prilozi 26(2): 63-77

Lee, P.S.; Sohn, J.N.; Lee, Y.M.; Kang, H.C. 2005: Prediction model on mental health status in middle-aged women of an urban area. Taehan Kanho Hakhoe Chi 35(2): 239-251

Shin, H.-J.; Park, Y.-J.; Kang, H.-C. 2004: Prediction model on mother-infant attachment during the early postpartum period. Taehan Kanho Hakhoe Chi 34(3): 504-514

Schold, J.D.; Howard, R.J. 2006: Prediction models assessing transplant center performance: can a little knowledge be a dangerous thing?. American Journal of Transplantation: Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons 6(2): 245-246

Gleicher, N. 2005: Prediction models for high-order multiple pregnancy. Fertility and sterility 83(6): 1888-9; author reply 1889

Kravitz, L.; Akalan, C.; Nowicki, K.; Kinzey, S.J. 2003: Prediction of 1 repetition maximum in high-school power lifters. Journal of Strength and Conditioning Research 17(1): 167-172

Spiridonov, S.I.; Gontarenko, I.A.; Mukusheva, M.K.; Fesenko, S.V.; Semioshkina, N.A. 2005: Prediction of 137Cs accumulation in animal products in the territory of Semipalatinsk test site. Radiatsionnaia Biologiia Radioecologiia 45(4): 480-487

Spiridonov, S.I.; Mukusheva, M.K.; Gontarenko, I.A.; Fesenko, S.V.; Baranov, S.A. 2005: Prediction of 137Cs behaviour in the soil-plant system in the territory of Semipalatinsk test site. Radiatsionnaia Biologiia Radioecologiia 45(4): 488-497

She, F.; Zhang, F.-c.; Wei, F.-j.; Mao, J.-m.; Guo, L.-j.; Li, H.-Y.; Niu, J.; Feng, X.-h.; Zhao, Y.-m.; Lü, J.-q.; Guo, J.-x.; Gao, W. 2005: Prediction of 2-year outcome by combining TIMi myocardial perfusion grading with sum ST segment resolution in patients with acute myocardial infarction. Zhonghua Yi Xue Za Zhi 85(40): 2835-2837

Van Someren, K.A.; Palmer, G.S. 2003: Prediction of 200-m sprint kayaking performance. Canadian Journal of Applied Physiology 28(4): 505-517

Andersen, C.E.; Raaschou-Nielsen, O.; Andersen, H.P.; Lind, M.; Gravesen, P.; Thomsen, B.L.; Ulbak, K. 2007: Prediction of 222Rn in Danish dwellings using geology and house construction information from central databases. Radiation Protection Dosimetry 123(1): 83-94

Kopczyński, J.; Lewandowski, Z.; Labanowska, C.; Tyszko, P.; Mróz, E.; Mularczyk-Bal, M.; Borkowska, U. 2004: Prediction of 29-years mortality rate from initial and emerging risk factors during follow-up in a Warsaw population. Przeglad Epidemiologiczny 58(3): 511-522

Goldfarb-Rumyantzev, A.S.; Scandling, J.D.; Pappas, L.; Smout, R.J.; Horn, S. 2003: Prediction of 3-yr cadaveric graft survival based on pre-transplant variables in a large national dataset. Clinical Transplantation 17(6): 485-497

Tong, J.; Liu, S.; Zhang, S.; Li, S.Z. 2007: Prediction of 31P nuclear magnetic resonance chemical shifts for phosphines. Spectrochimica Acta. Part A Molecular and Biomolecular Spectroscopy 67(3-4): 837-846

Mori, S.; Kunieda, K.; Sugiyama, Y.; Saji, S. 2003: Prediction of 5-fluorouracil and cisplatin synergism for advanced gastrointestinal cancers using a collagen gel droplet embedded culture. Surgery Today 33(8): 577-583

Keskula, D.R.; Sammarone, P.G.; Perrin, D.H. 1995: Prediction of Academic Achievement in an NATA-Approved Graduate Athletic Training Education Program. Journal of Athletic Training 30(1): 55-56

Lakhani, S.R.; Reis-Filho, J.S.; Fulford, L.; Penault-Llorca, F.; van der Vijver, M.; Parry, S.; Bishop, T.; Benitez, J.; Rivas, C.; Bignon, Y.-J.; Chang-Claude, J.; Hamann, U.; Cornelisse, C.J.; Devilee, P.; Beckmann, M.W.; Nestle-Krämling, C.; Daly, P.A.; Haites, N.; Varley, J.; Lalloo, F.; Evans, G.; Maugard, C.; Meijers-Heijboer, H.; Klijn, J.G.M.; Olah, E.; Gusterson, B.A.; Pilotti, S.; Radice, P.; Scherneck, S.; Sobol, H.; Jacquemier, J.; Wagner, T.; Peto, J.; Stratton, M.R.; McGuffog, L.; Easton, D.F. 2005: Prediction of BRCA1 status in patients with breast cancer using estrogen receptor and basal phenotype. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 11(14): 5175-5180

Dezoete, J.A.; MacArthur, B.A.; Tuck, B. 2003: Prediction of Bayley and Stanford-Binet scores with a group of very low birthweight children. Child: Care Health and Development 29(5): 367-372

Malik, M.H.A.; Fisher, N.; Gray, J.; Wroblewski, B.M.; Kay, P.R. 2005: Prediction of Charnley femoral stem aseptic loosening by early post-operative radiological features. International Orthopaedics 29(5): 268-271

Götz, H.M.; Veldhuijzen, I.K.; Habbema, J.D.F.; Boeke, A.J.P.; Richardus, J.H.; Steyerberg, E.W. 2006: Prediction of Chlamydia trachomatis infection: application of a scoring rule to other populations. Sexually Transmitted Diseases 33(6): 374-380

Sapkas, G.; Papagelopoulos, P.J.; Kateros, K.; Koundis, G.L.; Boscainos, P.J.; Koukou, U.I.; Katonis, P. 2003: Prediction of Cobb angle in idiopathic adolescent scoliosis. Clinical Orthopaedics and Related Research 411: 32-39

H Innes, C.; Jones, R.; Anderson, T.; Dalrymple-Alford, J.; Hayes, S.; Hollobon, S.; Severinsen, J.; Smith, G.; Nicholls, A. 2005: Prediction of Driving Ability in Persons with Brain Disorders using Sensory-Motor and Cognitive Tests. Conference Proceedings: . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2005: 5439-5442

Andrade, J.M.; Prada, D.; Muniategui, S.; Lopez, P. 1996: Prediction of FCC gasoline octane numbers using FT-MIR and PLS. Analytical and Bioanalytical Chemistry 355(5-6): 723-725

Pickler, R.H.; Best, A.M.; Reyna, B.A.; Wetzel, P.A.; Gutcher, G.R. 2005: Prediction of Feeding Performance in Preterm Infants. Newborn and Infant Nursing Reviews: Nainr 5(3): 116-123

Nantasenamat, C.; Isarankura-Na-Ayudhya, C.; Tansila, N.; Naenna, T.; Prachayasittikul, V. 2007: Prediction of GFP spectral properties using artificial neural network. Journal of Computational Chemistry 28(7): 1275-1289

Skluzacek, P.A.; Szewc, R.G.; Nolan, C.R.; Riley, D.J.; Lee, S.; Pergola, P.E. 2003: Prediction of GFR in liver transplant candidates. American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation 42(6): 1169-1176

Lin, R.S.; Rhee, S.-Y.; Shafer, R.W.; Das, A.K. 2006: Prediction of HIV mutation changes based on treatment history. AMIA . Annual Symposium Proceedings. AMIA Symposium 2006: 1011

Jenwitheesuk, E.; Samudrala, R. 2005: Prediction of HIV-1 protease inhibitor resistance using a protein-inhibitor flexible docking approach. Antiviral Therapy 10(1): 157-166

Dong, H.-L.; Sui, Y.-F. 2005: Prediction of HLA-A2-restricted CTL epitope specific to HCC by SYFPEITHi combined with polynomial method. World Journal of Gastroenterology 11(2): 208-211

Tong, J.C.; Zhang, G.L.; Tan, T.W.; August, J.T.; Brusic, V.; Ranganathan, S. 2006: Prediction of HLA-DQ3.2beta ligands: evidence of multiple registers in class Ii binding peptides. Bioinformatics 22(10): 1232-1238

Schefzick, S.; Kibbey, C.; Bradley, M.P. 2004: Prediction of HPLC conditions using QSPR techniques: an effective tool to improve combinatorial library design. Journal of Combinatorial Chemistry 6(6): 916-927

Delgado, E.J.; Alderete, J.B. 2003: Prediction of Henry's law constants of triazine derived herbicides from quantum chemical continuum solvation models. Journal of Chemical Information and Computer Sciences 43(4): 1226-1230

McCarthy, F.M.; Sellers, A.H.; Burns, W.J.; Smith, G.; Ivnik, R.J.; Malec, J.F. 2003: Prediction of IQ in the Mayo Older Adult Normative sample using multiple methods. Journal of Clinical Psychology 59(4): 457-463

Bai, Q.-L.; Chen, S.-J.; Dong, X.-L.; Meng, Q.-X.; Yan, Y.-L.; Dai, J.-R. 2006: Prediction of IVDMD with near infrared reflectance spectroscopy (NIRS) in maize stalk. Guang Pu Xue Yu Guang Pu Fen Xi 26(2): 271-274

Yasuda, K.; Matsubara, A.; Oji, K.; Futai, K.; Shinkawa, H. 2003: Prediction of Japanese cedar pollen emission in a snowy area--surveillance in Hirosaki City. Nihon Jibiinkoka Gakkai Kaiho 106(2): 135-142

Karpenko, O.; Shi, J.; Dai, Y. 2005: Prediction of MHC class Ii binders using the ant colony search strategy. Artificial Intelligence in Medicine 35(1-2): 147-156

Murugan, N.; Dai, Y. 2005: Prediction of MHC class Ii binding peptides based on an iterative learning model. Immunome Research 1: 6

Cui, J.; Han, L.Y.; Lin, H.H.; Zhang, H.L.; Tang, Z.Q.; Zheng, C.J.; Cao, Z.W.; Chen, Y.Z. 2007: Prediction of MHC-binding peptides of flexible lengths from sequence-derived structural and physicochemical properties. Molecular Immunology 44(5): 866-877

Bandu, M.L.; Watkins, K.R.; Bretthauer, M.L.; Moore, C.A.; Desaire, H. 2004: Prediction of MS/MS data. 1. a focus on pharmaceuticals containing carboxylic acids. Analytical Chemistry 76(6): 1746-1753

Gotoh, T.; Hosoi, H.; Iehara, T.; Kuwahara, Y.; Osone, S.; Tsuchiya, K.; Ohira, M.; Nakagawara, A.; Kuroda, H.; Sugimoto, T. 2005: Prediction of MYCN amplification in neuroblastoma using serum DNA and real-time quantitative polymerase chain reaction. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 23(22): 5205-5210

Bai, Q.-l.; Chen, S.-j.; Dong, X.-l.; Meng, Q.-x.; Yan, Y.-l.; Dai, J.-r. 2004: Prediction of NDF and ADF concentrations with near infrared reflectance spectroscopy (NIRS). Guang Pu Xue Yu Guang Pu Fen Xi 24(11): 1345-1347

Xue, Y.; Yap, C.W.; Sun, L.Z.; Cao, Z.W.; Wang, J.F.; Chen, Y.Z. 2004: Prediction of P-glycoprotein substrates by a support vector machine approach. Journal of Chemical Information and Computer Sciences 44(4): 1497-1505

Paul, J.S.; Patel, C.B.; Al-Nashash, H.; Zhang, N.; Ziai, W.C.; Mirski, M.A.; Sherman, D.L. 2003: Prediction of PTZ-induced seizures using wavelet-based residual entropy of cortical and subcortical field potentials. IEEE Transactions on Bio-Medical Engineering 50(5): 640-648

Alifrangis, M.; Enosse, S.; Khalil, I.F.; Tarimo, D.S.; Lemnge, M.M.; Thompson, R.; Bygbjerg, I.C.; Rønn, A.M. 2003: Prediction of Plasmodium falciparum resistance to sulfadoxine/pyrimethamine in vivo by mutations in the dihydrofolate reductase and dihydropteroate synthetase genes: a comparative study between sites of differing endemicity. American Journal of Tropical Medicine and Hygiene 69(6): 601-606

Mathews, D.H.; Turner, D.H. 2006: Prediction of RNA secondary structure by free energy minimization. Current Opinion in Structural Biology 16(3): 270-278

Luan, L.; Zeng, S.; Liu, Z. 1997: Prediction of RP-HPLC retention index for hydroxyl-containing compounds and their glucuronides. Se Pu 15(2): 94-98

Fernández de Castro, Bén.M.; Prada Sánchez, Jé.Manuel.; González Manteiga, W.; Febrero Bande, M.; Bermúdez Cela, Jé.Luis.; Hernández Fernández, J.José. 2003: Prediction of SO2 levels using neural networks. Journal of the Air and Waste Management Association 53(5): 532-539

Breier, A.M.; Chatterji, S.; Cozzarelli, N.R. 2004: Prediction of Saccharomyces cerevisiae replication origins. Genome Biology 5(4): R22

Li, G.-F.; Zhang, Z.-S.; Wang, Y.; Zhu, X.; Ji, M.-J.; Wu, G.-L. 2004: Prediction of T-cell epitopes from schistosoma japonicum 28 kDa glutathione-S-transferase and identification of their Th1 type T-cell epitopes. Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi 20(3): 352-355

Yang, Z.R.; Johnson, F.C. 2005: Prediction of T-cell epitopes using biosupport vector machines. Journal of Chemical Information and Modeling 45(5): 1424-1428

Chen, X.; Barfield, R.; Benaim, E.; Leung, W.; Knowles, J.; Lawrence, D.; Otto, M.; Shurtleff, S.A.; Neale, G.A.M.; Behm, F.G.; Turner, V.; Handgretinger, R. 2005: Prediction of T-cell reconstitution by assessment of T-cell receptor excision circle before allogeneic hematopoietic stem cell transplantation in pediatric patients. Blood 105(2): 886-893

Ohlmann, B.; Rammelsberg, P.; Henschel, V.; Kress, B.; Gabbert, O.; Schmitter, M. 2006: Prediction of TMJ arthralgia according to clinical diagnosis and MRi findings. International Journal of Prosthodontics 19(4): 333-338

Licitra, L.; Suardi, S.; Bossi, P.; Locati, L.D.; Mariani, L.; Quattrone, P.; Lo Vullo, S.; Oggionni, M.; Olmi, P.; Cantù, G.; Pierotti, M.A.; Pilotti, S. 2004: Prediction of TP53 status for primary cisplatin, fluorouracil, and leucovorin chemotherapy in ethmoid sinus intestinal-type adenocarcinoma. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 22(24): 4901-4906

Barnard, A.S.; Curtiss, L.A. 2005: Prediction of TiO2 nanoparticle phase and shape transitions controlled by surface chemistry. Nano Letters 5(7): 1261-1266

Mauser, H.; Roche, O.; Stahl, M.; Müller, S. 2005: Prediction of UV and ESI-MS signal intensities. Journal of Chemical Information and Modeling 45(4): 1039-1046

Wang, W.; Zhang, Y.; Huang, K. 2005: Prediction of a family of cage-shaped boric acid clusters. Journal of Physical Chemistry. B 109(18): 8562-8564

Jiang, D.E.; Carter, E.A. 2006: Prediction of a highly activated state of CO adsorbed on an Al/Fe(100) bimetallic surface. Journal of Physical Chemistry. B 110(44): 22213-22219

Brown, E.C.; Cohen, A.; Gerber, R.B. 2005: Prediction of a linear polymer made of xenon and carbon. Journal of Chemical Physics 122(17): 171101

Rudwaleit, M.; Listing, J.; Brandt, J.; Braun, J.; Sieper, J. 2004: Prediction of a major clinical response (BASDAi 50) to tumour necrosis factor alpha blockers in ankylosing spondylitis. Annals of the Rheumatic Diseases 63(6): 665-670

Knight, C.; Singer, S.J. 2005: Prediction of a phase transition to a hydrogen bond ordered form of ice Vi. Journal of Physical Chemistry. B 109(44): 21040-21046

Díez-Pérez, A.; González-Macías, J.; Marín, F.; Abizanda, M.; Alvarez, R.; Gimeno, A.; Pegenaute, E.; Vila, J. 2007: Prediction of absolute risk of non-spinal fractures using clinical risk factors and heel quantitative ultrasound. Osteoporosis International: a Journal Established as Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the Usa 18(5): 629-639

Glasberg, B.R.; Moore, B.C.J. 2006: Prediction of absolute thresholds and equal-loudness contours using a modified loudness model. Journal of the Acoustical Society of America 120(2): 585-588

Watanabe, E.; Kinoshita, N.; Takahashi, M.; Hayashi, M. 2005: Prediction of absorbability of poorly water-soluble drugs based on permeability obtained through modified in vitro chamber method. Drug Metabolism and Pharmacokinetics 20(6): 428-434

Kolbert, K.S.; Pentlow, K.S.; Pearson, J.R.; Sheikh, A.; Finn, R.D.; Humm, J.L.; Larson, S.M. 2007: Prediction of absorbed dose to normal organs in thyroid cancer patients treated with 131i by use of 124i PET and 3-dimensional internal dosimetry software. Journal of Nuclear Medicine: Official Publication Society of Nuclear Medicine 48(1): 143-149

Ford, A.H. 1950: Prediction of academic success in three schools of nursing. Journal of Applied Psychology 34(3): 186-189

Dunn, M.E.; Evans, T.M.; Kirschner, K.N.; Shields, G.C. 2006: Prediction of accurate anharmonic experimental vibrational frequencies for water clusters, (H2O)n, n=2-5. Journal of Physical Chemistry. a 110(1): 303-309

Kitoh, H.; Kitakoji, T.; Katoh, M.; Ishiguro, N. 2006: Prediction of acetabular development after closed reduction by overhead traction in developmental dysplasia of the hip. Journal of Orthopaedic Science: Official Journal of the Japanese Orthopaedic Association 11(5): 473-477

Luo, F.R.; Yang, Z.; Dong, H.; Camuso, A.; McGlinchey, K.; Fager, K.; Flefleh, C.; Kan, D.; Inigo, I.; Castaneda, S.; Wong, T.W.; Kramer, R.A.; Wild, R.; Lee, F.Y. 2005: Prediction of active drug plasma concentrations achieved in cancer patients by pharmacodynamic biomarkers identified from the geo human colon carcinoma xenograft model. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 11(15): 5558-5565

Xu, R.; Yan, W.-Y.; Jiang, X.-F.; Xie, S.-M.; Zhu, N.; Kong, F.-H.; Pei, X.-T. 2004: Prediction of acute GVHD after umbilical cord blood transplantation by HLA three-dimensional structure matching. Zhongguo Shi Yan Xue Ye Xue Za Zhi 12(3): 282-286

Dong, W.; Shunliang, Y.; Weizhen, W.; Qinghua, W.; Zhangxin, Z.; Jianming, T.; He, W. 2006: Prediction of acute renal allograft rejection in early post-transplantation period by soluble CD30. Transplant Immunology 16(1): 41-45

Brodman, K.; Deutschberger, J.; Erdmann, A.J.; Lorge, I.; Wolff, H.G. 1954: Prediction of adequacy for military service; use of the Cornell Medical Index-Health Questionnaire. United States Armed Forces Medical Journal 5(12): 1802-1808

Janson, H.; Stattin, H.åk. 2003: Prediction of adolescent and adult delinquency from childhood Rorschach ratings. Journal of Personality Assessment 81(1): 51-63

Van Bokhoven, I.; Matthys, W.; van Goozen, S.H.M.; van Engeland, H. 2005: Prediction of adolescent outcome in children with disruptive behaviour disorders--a study of neurobiological, psychological and family factors. European Child and Adolescent Psychiatry 14(3): 153-163

Wurster, D.E.; Alkhamis, K.A.; Matheson, L.E. 2000: Prediction of adsorption from multicomponent solutions by activated carbon using single-solute parameters. Aaps Pharmscitech 1(3): E25

Alkhamis, K.A.; Wurster, D.E. 2002: Prediction of adsorption from multicomponent solutions by activated carbon using single-solute parameters. Part II--Proposed equation. Aaps Pharmscitech 3(3): E23

Wita, K.; Filipecki, A.; Szczogiel, J.; Drzewiecka-Gerber, A.; Rybicka, A.; Krauze, J.; Wróbel, W.; Szydło, K.; Urbańczyk, D.; Turski, M.; Tabor, Z.; Kwaśniewski, W.; Mróz, I.; Trusz-Gluza, M. 2006: Prediction of adverse cardiac events in patients with acute anterior wall myocardial infarction treated with PCI. Polskie Archiwum Medycyny Wewnetrznej 116(1): 648-657

Mutlu Meydanli, M.; Caliskan, E.; Haberal, A. 2003: Prediction of adverse outcome associated with vaginal misoprostol for labor induction. European Journal of Obstetrics Gynecology and Reproductive Biology 110(2): 143-148

Maranhão Neto, G.d.A.; Lourenço, P.M.C.; Farinatti, P.d.T.V. 2004: Prediction of aerobic fitness without stress testing and applicability to epidemiological studies: a systematic review. Cadernos de Saude Publica 20(1): 48-56

Ingram, W. 1954: Prediction of aggression from the Rorschach. Journal of Consulting Psychology 18(1): 23-28

Hagino, T.; Sato, E.; Tonotsuka, H.; Ochiai, S.; Tokai, M.; Hamada, Y. 2006: Prediction of ambulation prognosis in the elderly after hip fracture. International Orthopaedics 30(5): 315-319

Wu, G.; Yan, S. 2003: Prediction of amino acid pairs sensitive to mutations in the spike protein from SARS related coronavirus. Peptides 24(12): 1837-1845

Pool, R.é; Bolhuis, P.G. 2006: Prediction of an autocatalytic replication mechanism for micelle formation. Physical Review Letters 97(1): 018302

He, L.; Bester, G.; Zunger, A. 2005: Prediction of an excitonic ground state in InAs/InSb quantum dots. Physical Review Letters 94(1): 016801

Jellema, P.; van der Windt, D.ël.A.W.M.; van der Horst, H.ët.E.; Stalman, W.A.B.; Bouter, L.M. 2007: Prediction of an unfavourable course of low back pain in general practice: comparison of four instruments. British Journal of General Practice: the Journal of the Royal College of General Practitioners 57(534): 15-22

Ogawa, J.; Harigai, M.; Nagasaka, K.; Nakamura, T.; Miyasaka, N. 2005: Prediction of and prophylaxis against Pneumocystis pneumonia in patients with connective tissue diseases undergoing medium- or high-dose corticosteroid therapy. Modern Rheumatology 15(2): 91-96

Foster, M.; Nolan, R.L.; Lam, M. 2003: Prediction of anemia on unenhanced computed tomography of the thorax. Canadian Association of Radiologists Journal 54(1): 26-30

Fuertes, A. 2006: Prediction of anion distributions using Pauling's second rule. Inorganic Chemistry 45(24): 9640-9642

Bouchet, F.; Dauxois, T. 2005: Prediction of anomalous diffusion and algebraic relaxations for long-range interacting systems, using classical statistical mechanics. Physical Review. E Statistical Nonlinear and Soft Matter Physics 72(4 Part 2): 045103

Vanyúr, R.ál.; Héberger, K.ár.; Jakus, J. 2003: Prediction of anti-HIV-1 activity of a series of tetrapyrrole molecules. Journal of Chemical Information and Computer Sciences 43(6): 1829-1836

Awai, K.; Nakayama, Y.; Nakaura, T.; Yanaga, Y.; Tamura, Y.; Hatemura, M.; Funama, Y.; Yamashita, Y. 2007: Prediction of aortic peak enhancement in monophasic contrast injection protocols at multidetector CT: phantom and patient studies. Radiation Medicine 25(1): 14-21

Coenegrachts, K.; Rigauts, H.; De Letter, J. 2003: Prediction of aortoiliac stent graft length: comparison of a semiautomated computed tomography angiography method and calibrated aortography. Journal of Computer Assisted Tomography 27(2): 284-288

Wu, P.; Zeng, Y.Z.; Wang, C.M. 2004: Prediction of apatite lattice constants from their constituent elemental radii and artificial intelligence methods. Biomaterials 25(6): 1123-1130

Buskens, C.J.; Westerterp, M.; Lagarde, S.M.; Bergman, J.J.G.H.M.; ten Kate, F.J.W.; van Lanschot, J.J.B. 2004: Prediction of appropriateness of local endoscopic treatment for high-grade dysplasia and early adenocarcinoma by EUS and histopathologic features. Gastrointestinal Endoscopy 60(5): 703-710

Toropov, A.A.; Schultz, T.W. 2003: Prediction of aquatic toxicity: use of optimization of correlation weights of local graph invariants. Journal of Chemical Information and Computer Sciences 43(2): 560-567

Wegner, Jörg.K.; Zell, A. 2003: Prediction of aqueous solubility and partition coefficient optimized by a genetic algorithm based descriptor selection method. Journal of Chemical Information and Computer Sciences 43(3): 1077-1084

Votano, J.R.; Parham, M.; Hall, L.H.; Kier, L.B.; Hall, L.Mark. 2004: Prediction of aqueous solubility based on large datasets using several QSPR models utilizing topological structure representation. Chemistry and Biodiversity 1(11): 1829-1841

Yan, A.; Gasteiger, J. 2003: Prediction of aqueous solubility of organic compounds based on a 3D structure representation. Journal of Chemical Information and Computer Sciences 43(2): 429-434

Tantishaiyakul, V. 2004: Prediction of aqueous solubility of organic salts of diclofenac using PLS and molecular modeling. International Journal of Pharmaceutics 275(1-2): 133-139

Papasavas, P.K.; Reifsnyder, T.; Birdas, T.J.; Caushaj, P.F.; Leers, S. 2003: Prediction of arteriovenous access steal syndrome utilizing digital pressure measurements. Vascular and Endovascular Surgery 37(3): 179-184

Seed, M.J.; Hussey, L.J.; Lines, S.K.; Turner, S.; Agius, R.M. 2006: Prediction of asthma hazard of glutaraldehyde substitutes. Occupational Medicine 56(4): 284-285

Seed, M.J.; Agius, R.M. 2006: Prediction of asthma hazard of thiamine. Allergy 61(5): 648

Le Souëf, P. 2002: Prediction of asthma in children at 6 and 12 years of age: Perth infant asthma follow-up study. Pediatric allergy and immunology: official publication of the European Society of Pediatric Allergy and Immunology 13(s15): 44-46

Balemans, W.A.F.; van der Ent, C.K.; Schilder, A.G.M.; Sanders, E.A.M.; Zielhuis, G.A.; Rovers, M.M. 2006: Prediction of asthma in young adults using childhood characteristics: Development of a prediction rule. Journal of Clinical Epidemiology 59(11): 1207-1212

Watanabe, T.; Suenage, S.; Matsushita, F.; Suzuki, M. 2005: Prediction of atmospheric Japanese cedar pollen counts in Oita University Faculty of Medicine Complex. Arerugi 54(11): 1272-1278

Poli, S.; Barbaro, V.; Bartolini, P.; Calcagnini, G.; Censi, F. 2003: Prediction of atrial fibrillation from surface ECG: review of methods and algorithms. Annali Dell'istituto Superiore di Sanita 39(2): 195-203

Krishnamoorthy, K.M.; Dash, P.K. 2003: Prediction of atrial fibrillation in patients with severe mitral stenosis--role of atrial contribution to ventricular filling. Scandinavian Cardiovascular Journal: Scj 37(6): 344-348

Opthof, T. 2005: Prediction of atrial fibrillation: Role of the atrial gradient. Heart Rhythm 2(4): 411-412

Lieu, J.E.C.; Champion, G. 2006: Prediction of auditory brainstem reflex screening referrals in high-risk infants. Laryngoscope 116(2): 261-267

Paul, M.; Andreassen, S.; Nielsen, A.D.; Tacconelli, E.; Almanasreh, N.; Fraser, A.; Yahav, D.; Ram, R.; Leibovici, L. 2006: Prediction of bacteremia using TREAT, a computerized decision-support system. Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America 42(9): 1274-1282

Miller, D.R. 1953: Prediction of behavior by means of the Rorschach test. Journal of Abnormal Psychology 48(3): 367-375

Kaandorp, T.A.M.; Lamb, H.J.; Bax, J.J.; Boersma, E.; Viergever, E.P.; van der Wall, E.E.; de Roos, A. 2005: Prediction of beneficial effect of beta blocker treatment in severe ischaemic cardiomyopathy: assessment of global left ventricular ejection fraction using dobutamine stress cardiovascular magnetic resonance. Heart 91(11): 1471-1472

Brown, W.M.; Martin, S.; Chabarek, J.P.; Strauss, C.; Faulon, J.-L. 2006: Prediction of beta-strand packing interactions using the signature product. Journal of Molecular Modeling 12(3): 355-361

Li, X.; Zhang, W.; Qiao, X.; Xu, X. 2007: Prediction of binding for a kind of non-peptic HCV NS3 serine protease inhibitors from plants by molecular docking and MM-PBSA method. Bioorganic and Medicinal Chemistry 15(1): 220-226

Nidhi; Glick, M.; Davies, J.W.; Jenkins, J.L. 2006: Prediction of biological targets for compounds using multiple-category Bayesian models trained on chemogenomics databases. Journal of Chemical Information and Modeling 46(3): 1124-1133

Chiu, H.-M.; Lin, J.-T.; Huang, S.-P.; Chen, C.-H.; Yang, C.-S.; Wang, H.-P. 2004: Prediction of bleeding and stricture formation after corrosive ingestion by EUS concurrent with upper endoscopy. Gastrointestinal Endoscopy 60(5): 827-833

Martin, I. 2004: Prediction of blood-brain barrier penetration: are we missing the point?. Drug Discovery Today 9(4): 161-162

Wichmann, K.; Diedenhofen, M.; Klamt, A. 2007: Prediction of blood-brain partitioning and human serum albumin binding based on COSMO-RS sigma-moments. Journal of Chemical Information and Modeling 47(1): 228-233

Tatem, A.J.; Baylis, M.; Mellor, P.S.; Purse, B.V.; Capela, R.; Pena, I.; Rogers, D.J. 2003: Prediction of bluetongue vector distribution in Europe and north Africa using satellite imagery. Veterinary Microbiology 97(1-2): 13-29

Fisher, S. 1959: Prediction of body exterior vs. body interior reactivity from a body image schema. Journal of Personality 27(1): 56-62

Eston, R. 2003: Prediction of body fat from skinfolds: the importance of including sites from the lower limb. Journal of Sports Sciences 21(5): 369-370

Ladell, W.S.; Watkins, E.S. 1957: Prediction of body temperature from heart rate. Journal of Physiology 135(2): 51

Shibata, Y.; Matsumura, A.; Yamamoto, T.; Akutsu, H.; Yasuda, S.; Nakai, K.; Nose, T.; Yamamoto, K.; Kumada, H.; Hori, N.; Ohtake, S. 2003: Prediction of boron concentrations in blood from patients on boron neutron capture therapy. Anticancer Research 23(6d): 5231-5235

Radivojac, P.; Obradović, Z.; Brown, C.J.; Dunker, A.K. 2003: Prediction of boundaries between intrinsically ordered and disordered protein regions. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2003: 216-227

Lou, E.; Hill, D.; Raso, J.; Mahood, J.; Moreau, M. 2006: Prediction of brace treatment outcomes by monitoring brace usage. Studies in Health Technology and Informatics 123: 239-244

Ardashev, V.N.; Fursov, A.N.; Konev, A.V.; Kulichik, T.D.; Chubarova, O.G.; Krivozubov, E.F. 2004: Prediction of brain infarction in hypertensive patients. Klinicheskaia Meditsina 82(4): 40-43

Umetani, N.; Giuliano, A.E.; Hiramatsu, S.H.; Amersi, F.; Nakagawa, T.; Martino, S.; Hoon, D.S.B. 2006: Prediction of breast tumor progression by integrity of free circulating DNA in serum. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 24(26): 4270-4276

Dummin, L.J.; Cox, M.; Plant, L. 2007: Prediction of breast tumor size by mammography and sonography--A breast screen experience. Breast 16(1): 38-46

Yeong, E.-K.; Hsiao, T.-C.; Chiang, H.K.; Lin, C.-W. 2005: Prediction of burn healing time using artificial neural networks and reflectance spectrometer. Burns: Journal of the International Society for Burn Injuries 31(4): 415-420

Faghri, P.D.; Du, Q.Yuan. 2006: Prediction of calf volume during muscle contraction. Assistive Technology: the Official Journal of Resna 18(1): 46-55

Iwasaki, S.; Ito, K.; Abbey, K.; Murofushi, T. 2004: Prediction of canal paresis using head-shaking nystagmus test. Acta Oto-Laryngologica 124(7): 803-806

Biganzoli, E.; Lama, N.; Ambrogi, F.; Antolini, L.; Boracchi, P. 2005: Prediction of cancer outcome with microarrays. Lancet 365(9472): 1683; author reply 1684-5

Gardner, S.N.; Fernandes, M. 2005: Prediction of cancer outcome with microarrays. Lancet 365(9472): 1685

Nunn, J.F. 1960: Prediction of carbon dioxide tension during anaesthesia. Anaesthesia 15: 123-133

Zhou, L.P.; Sun, L.L.; Yu, Y.; Lu, W.; Li, Z.L. 2006: Prediction of carbon-13 NMR chemical shift of alkanes with rooted path vector. Journal of Molecular Graphics and Modelling 25(3): 333-339

Liang, H.; Lin, H.; Weng, Y.; Dandel, M.; Hetzer, R. 2005: Prediction of cardiac function after weaning from ventricular assist devices. Journal of Thoracic and Cardiovascular Surgery 130(6): 1555-1560

Karkos, C.D.; Thomson, G.J.L.; Hughes, R.; Joshi, M.; Baguneid, M.S.; Hill, J.C.; Mukhopadhyay, U.S. 2003: Prediction of cardiac risk prior to elective abdominal aortic surgery: role of multiple gated acquisition scan. World Journal of Surgery 27(10): 1085-1092

Shochat, M.; Charach, G.; Meyler, S.; Meisel, S.; Weintraub, M.; Mengeritsky, G.; Mosseri, M.; Rabinovich, P. 2006: Prediction of cardiogenic pulmonary edema onset by monitoring right lung impedance. Intensive Care Medicine 32(8): 1214-1221

Ko, G.T.-C.; So, W.-Y.; Chan, N.N.; Chan, W.-B.; Tong, P.C.-Y.; Li, J.; Yeung, V.; Chow, C.-C.; Ozaki, R.; Ma, R.C.-W.; Cockram, C.S.; Chan, J.C.-N. 2006: Prediction of cardiovascular and total mortality in Chinese type 2 diabetic patients by the WHO definition for the metabolic syndrome. Diabetes Obesity and Metabolism 8(1): 94-104

van Trijp, M.J.; Grobbee, D.E.; Hoes, A.W.; Bots, M.L. 2003: Prediction of cardiovascular disease on the basis of blood pressure measurements more reliable with systolic than with diastolic measurement. Nederlands Tijdschrift Voor Geneeskunde 147(30): 1456-1459

Pfaff, M.; Weller, K.; Woetzel, D.; Guthke, R.; Schroeder, K.; Stein, G.; Pohlmeier, R.; Vienken, J. 2004: Prediction of cardiovascular risk in hemodialysis patients by data mining. Methods of Information in Medicine 43(1): 106-113

Winocour, P.H.; Fisher, M. 2003: Prediction of cardiovascular risk in people with diabetes. Diabetic Medicine: a Journal of the British Diabetic Association 20(7): 515-527

Wada, S.; Van Khoa, T.; Kobayashi, Y.; Funayama, T.; Ogihara, K.; Ueno, S.; Ito, N. 2005: Prediction of cellular radiosensitivity from DNA damage induced by gamma-rays and carbon ion irradiation in canine tumor cells. Journal of Veterinary Medical Science 67(11): 1089-1095

Basak, S.C.; Balasubramanian, K.; Gute, B.D.; Mills, D.; Gorczynska, A.; Roszak, S. 2003: Prediction of cellular toxicity of halocarbons from computed chemodescriptors: a hierarchical QSAR approach. Journal of Chemical Information and Computer Sciences 43(4): 1103-1109

Inoue, T.; Fujimoto, S. 2005: Prediction of cerebral blood flow restoration after extracranial-intracranial bypass surgery using superficial temporal artery duplex ultrasonography (STDU). Acta Neurochirurgica. Suppl 94: 159-163

Kondrat'ev, G.P.; Gerasimova, M.M. 2006: Prediction of cerebral disturbances in patients with thermal injury. Klinicheskaia Meditsina 84(6): 46-49

Aleksic, M.; Gawenda, M.; Heckenkamp, J.; Matoussevitch, V.; Coburger, S.; Brunkwall, J. 2004: Prediction of cerebral ischemic tolerance during carotid cross-clamping by angiographic criteria. European Journal of Vascular and Endovascular Surgery: the Official Journal of the European Society for Vascular Surgery 27(6): 640-645

Necas, J. 1952: Prediction of certain chronic diseases according to life insurance experiences. Prakticky Lekar 32(3): 63-66

Ferris, D.G.; Litaker, M.S. 2006: Prediction of cervical histologic results using an abbreviated Reid Colposcopic Index during ALTS. American Journal of Obstetrics and Gynecology 194(3): 704-710

Pete, I.; Godény, M.; Tóth, E.; Radó, J.; Pete, B.; Pulay, T. 2003: Prediction of cervical infiltration in Stage Ii endometrial cancer by different preoperative evaluation techniques (D&C, US, CT, MRI). European Journal of Gynaecological Oncology 24(6): 517-522

Sherwood, C.P.; Shaw, C.G.; Van Rooij, L.; Kent, R.W.; Crandall, J.R.; Orzechowski, K.M.; Eichelberger, M.R.; Kallieris, D. 2003: Prediction of cervical spine injury risk for the 6-year-old child in frontal crashes. Traffic Injury Prevention 4(3): 206-213

Mulders, A.G.M.G.J.; Eijkemans, M.J.C.; Imani, B.; Fauser, B.C.J.M. 2003: Prediction of chances for success or complications in gonadotrophin ovulation induction in normogonadotrophic anovulatory infertility. Reproductive Biomedicine Online 7(2): 170-178

Masaryk, P.; Stancíková, M.; Letkovská, A.; Rovenský, J. 2002: Prediction of changes in bone density during alendronate treatment in postmenopausal women. Vnitrni Lekarstvi 48(10): 943-947

Zweckstetter, M. 2006: Prediction of charge-induced molecular alignment: residual dipolar couplings at pH 3 and alignment in surfactant liquid crystalline phases. European Biophysics Journal: Ebj 35(2): 170-180

Sun, H. 2004: Prediction of chemical carcinogenicity from molecular structure. Journal of Chemical Information and Computer Sciences 44(4): 1506-1514

Van Laarhoven, H.W.M.; Klomp, D.W.J.; Rijpkema, M.; Kamm, Y.L.M.; Wagener, D.J.T.; Barentsz, J.O.; Punt, C.J.A.; Heerschap, A. 2007: Prediction of chemotherapeutic response of colorectal liver metastases with dynamic gadolinium-DTPA-enhanced MRi and localized 19F MRS pharmacokinetic studies of 5-fluorouracil. Nmr in Biomedicine 20(2): 128-140

Spivak, J.L. 2005: Prediction of chemotherapy-induced anaemia: is knowledge really power?. Lancet. Oncology 6(11): 822-824

Valiente, C.; Eisenberg, N.; Fabes, R.A.; Shepard, S.A.; Cumberland, A.; Losoya, S.H. 2004: Prediction of children's empathy-related responding from their effortful control and parents' expressivity. Developmental Psychology 40(6): 911-926

Hertzberg, L.; Betts, D.R.; Raimondi, S.C.; Schäfer, B.W.; Notterman, D.A.; Domany, E.; Izraeli, S. 2007: Prediction of chromosomal aneuploidy from gene expression data. Genes Chromosomes and Cancer 46(1): 75-86

Turner, J.A.; Franklin, G.; Fulton-Kehoe, D.; Egan, K.; Wickizer, T.M.; Lymp, J.F.; Sheppard, L.; Kaufman, J.D. 2004: Prediction of chronic disability in work-related musculoskeletal disorders: a prospective, population-based study. Bmc Musculoskeletal Disorders 5: 14

Piruzyan, L.A.; Korshunov, I.B.; Morozova, N.V.; Pyn'ko, N.E.; Radkevich, L.A. 2004: Prediction of chronic liver diseases on the basis of the N-acetyltransferase 2 phenotype. Doklady. Biochemistry and Biophysics 395: 84-87

Yamada, K.; Hatakeyama, E.; Arita, S.; Sakamoto, K.; Kashiwabara, H.; Hamaguchi, K. 2003: Prediction of chronic renal allograft dysfunction from evaluations of TGFBeta1 and the renin-angiotensin system. Clinical and Experimental Nephrology 7(3): 238-242

Podvinec, M.; Meyer, U.A. 2006: Prediction of cis-regulatory elements for drug-activated transcription factors in the regulation of drug-metabolising enzymes and drug transporters. Expert Opinion on Drug Metabolism and Toxicology 2(3): 367-379

Kiełbase, S.M.; Blüthgen, N.; Sers, C.; Schäfer, R.; Herzel, H. 2004: Prediction of cis-regulatory elements of coregulated genes. Genome Informatics. International Conference on Genome Informatics 15(1): 117-124

Vavouri, T.; Elgar, G. 2005: Prediction of cis-regulatory elements using binding site matrices--the successes, the failures and the reasons for both. Current Opinion in Genetics and Development 15(4): 395-402

Srinivasan, K.N.; Zhang, G.L.; Khan, A.M.; August, J.T.; Brusic, V. 2004: Prediction of class i T-cell epitopes: evidence of presence of immunological hot spots inside antigens. Bioinformatics 20(Suppl 1): I297-I302

Herricks, E.E.; Bergner, E.R. 2003: Prediction of climate change effects of fish communities in the Mackinaw River watershed, Illinois, USA. Water Science and Technology: a Journal of the International Association on Water Pollution Research 48(10): 199-207

Futschik, M.E.; Sullivan, M.; Reeve, A.; Kasabov, N. 2003: Prediction of clinical behaviour and treatment for cancers. Applied Bioinformatics 2(3 Suppl): S53-S58

Haager, P.K.; Christott, P.; Heussen, N.; Lepper, W.; Hanrath, P.; Hoffmann, R. 2003: Prediction of clinical outcome after mechanical revascularization in acute myocardial infarction by markers of myocardial reperfusion. Journal of the American College of Cardiology 41(4): 532-538

Ichikawa, W. 2006: Prediction of clinical outcome of fluoropyrimidine-based chemotherapy for gastric cancer patients, in terms of the 5-fluorouracil metabolic pathway. Gastric Cancer: Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association 9(3): 145-155

Soulez, G.; Therasse, E.; Qanadli, S.D.; Froment, D.; Léveillé, M.; Nicolet, V.; Turpin, S.; Giroux, M.-F.; Guertin, M.C.; Oliva, V.L. 2003: Prediction of clinical response after renal angioplasty: respective value of renal Doppler sonography and scintigraphy. AJR. American Journal of Roentgenology 181(4): 1029-1035

Van Leeuwen, S.M.; Blankert, B.; Kauffmann, J.-M.; Karst, U. 2005: Prediction of clozapine metabolism by on-line electrochemistry/liquid chromatography/mass spectrometry. Analytical and Bioanalytical Chemistry 382(3): 742-750

Wilson, W.; Driessen, N.J.B.; van Donkelaar, C.C.; Ito, K. 2006: Prediction of collagen orientation in articular cartilage by a collagen remodeling algorithm. Osteoarthritis and Cartilage 14(11): 1196-1202

Ha, Y.-C.; Jung, W.H.; Kim, J.-R.; Seong, N.H.; Kim, S.-Y.; Koo, K.-H. 2006: Prediction of collapse in femoral head osteonecrosis: a modified Kerboul method with use of magnetic resonance images. Journal of Bone and Joint Surgery. American Volume 88(Suppl 3): 35-40

Goeringer, D.E.; Viehland, L.A.; Danailov, D.M. 2006: Prediction of collective characteristics for ion ensembles in quadrupole ion traps without trajectory simulations. Journal of the American Society for Mass Spectrometry 17(7): 889-902

Yu, Y.-X.; Tian, A.-W.; Gao, G.-H. 2005: Prediction of collective diffusion coefficient of bovine serum albumin in aqueous electrolyte solution with hard-core two-Yukawa potential. Physical Chemistry Chemical Physics: Pccp 7(12): 2423-2428

Sopchak, A.L. 1958: Prediction of college performance by commonly used tests. Journal of Clinical Psychology 14(2): 194-197

Tominaga, K.; Fujii, S.; Mukawa, K.; Fujita, M.; Ichikawa, K.; Tomita, S.; Imai, Y.; Kanke, K.; Ono, Y.; Terano, A.; Hiraishi, H.; Fujimori, T. 2005: Prediction of colorectal neoplasia by quantitative methylation analysis of estrogen receptor gene in nonneoplastic epithelium from patients with ulcerative colitis. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 11(24 Part 1): 8880-8885

Hill, I.B. 1957: Prediction of commitments. American Journal of Mental Deficiency 61(3): 481-483

Heckerling, P.S.; Gerber, B.S.; Tape, T.G.; Wigton, R.S. 2003: Prediction of community-acquired pneumonia using artificial neural networks. Medical Decision Making: An International Journal of the Society for Medical Decision Making 23(2): 112-121

Sakaguchi, R.L.; Wiltbank, B.D.; Murchison, C.F. 2004: Prediction of composite elastic modulus and polymerization shrinkage by computational micromechanics. Dental Materials: Official Publication of the Academy of Dental Materials 20(4): 397-401

Yap, C.W.; Xue, Y.; Li, H.; Li, Z.R.; Ung, C.Y.; Han, L.Y.; Zheng, C.J.; Cao, Z.W.; Chen, Y.Z. 2006: Prediction of compounds with specific pharmacodynamic, pharmacokinetic or toxicological property by statistical learning methods. Mini Reviews in Medicinal Chemistry 6(4): 449-459

Srinivasan, V.; Blankschtein, D. 2005: Prediction of conformational characteristics and micellar solution properties of fluorocarbon surfactants. Langmuir: the Acs Journal of Surfaces and Colloids 21(4): 1647-1660

Thalib, L.; Gras, L.; Romand, S.; Prusa, A.; Bessieres, M.-H.; Petersen, E.; Gilbert, R.E. 2005: Prediction of congenital toxoplasmosis by polymerase chain reaction analysis of amniotic fluid. Bjog: An International Journal of Obstetrics and Gynaecology 112(5): 567-574

Loredo, Jé.S.; Berry, C.; Nelesen, R.A.; Dimsdale, J.E. 2007: Prediction of continuous positive airway pressure in obstructive sleep apnea. Sleep and Breathing 11(1): 45-51

Budeus, M.; Felix, O.; Hennersdorf, M.; Wieneke, H.; Erbel, R.; Sack, S. 2007: Prediction of conversion from paroxysmal to permanent atrial fibrillation. Pacing and Clinical Electrophysiology: Pace 30(2): 243-252

Lin, N.; Yee, S.B.; Mitra, S.; Chuang, A.Z.; Yee, R.W. 2004: Prediction of corneal haze using an ablation depth/corneal thickness ratio after laser epithelial keratomileusis. Journal of Refractive Surgery 20(6): 797-802

Agatonovic-Kustrin, S.; Evans, A.; Alany, R.G. 2003: Prediction of corneal permeability using artificial neural networks. Die Pharmazie 58(10): 725-729

Rott, D.; Benhorin, J.; Keren, A.; Baras, M.; Leibowitz, D.; Banai, S. 2005: Prediction of coronary artery disease severity in patients referred for coronary angiography. Clinical Cardiology 28(6): 288-292

Lee, E.T.; Howard, B.V.; Wang, W.; Welty, T.K.; Galloway, J.M.; Best, L.G.; Fabsitz, R.R.; Zhang, Y.; Yeh, J.; Devereux, R.B. 2006: Prediction of coronary heart disease in a population with high prevalence of diabetes and albuminuria: the Strong Heart Study. Circulation 113(25): 2897-2905

Folsom, A.R.; Chambless, L.E.; Duncan, B.B.; Gilbert, A.C.; Pankow, J.S. 2003: Prediction of coronary heart disease in middle-aged adults with diabetes. Diabetes Care 26(10): 2777-2784

Dong, X.N.; Guo, X.E. 2006: Prediction of cortical bone elastic constants by a two-level micromechanical model using a generalized self-consistent method. Journal of Biomechanical Engineering 128(3): 309-316

Andersen, B.; Gundgaard, J.; Kretzschmar, M.; Olsen, J.; Welte, R.; Oster-Gaard, L. 2006: Prediction of costs, effectiveness, and disease control of a population-based program using home sampling for diagnosis of urogenital Chlamydia trachomatis Infections. Sexually Transmitted Diseases 33(7): 407-415

Merkesdal, S.; Mau, W. 2005: Prediction of costs-of-illness in patients with low back pain undergoing orthopedic outpatient rehabilitation. International Journal of Rehabilitation Research. Internationale Zeitschrift für Rehabilitationsforschung. Revue Internationale de Recherches de Readaptation 28(2): 119-126

Neurauter, A.; Eftestøl, T.; Kramer-Johansen, J.; Abella, B.S.; Sunde, K.; Wenzel, V.; Lindner, K.H.; Eilevstjønn, J.; Myklebust, H.; Steen, P.A.; Strohmenger, H.-U. 2007: Prediction of countershock success using single features from multiple ventricular fibrillation frequency bands and feature combinations using neural networks. Resuscitation 73(2): 253-263

Braun, J.T.; Akyuz, E. 2005: Prediction of curve progression in a goat scoliosis model. Journal of Spinal Disorders and Techniques 18(3): 272-276

Inoue, M.; Minami, S.; Nakata, Y.; Takaso, M.; Otsuka, Y.; Kitahara, H.; Isobe, K.; Kotani, T.; Maruta, T.; Moriya, H. 2002: Prediction of curve progression in idiopathic scoliosis from gene polymorphic analysis. Studies in Health Technology and Informatics 91: 90-96

Camps-Valls, G.; Porta-Oltra, B.ña.; Soria-Olivas, E.; Martín-Guerrero, J.é D.; Serrano-López, A.J.é; Pérez-Ruixo, J.J.é; Jiménez-Torres, N.ás.V.íc. 2003: Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks. IEEE Transactions on Bio-Medical Engineering 50(4): 442-448

Yap, C.W.; Chen, Y.Z. 2005: Prediction of cytochrome P450 3A4, 2D6, and 2C9 inhibitors and substrates by using support vector machines. Journal of Chemical Information and Modeling 45(4): 982-992

Björkman, S. 2006: Prediction of cytochrome p450-mediated hepatic drug clearance in neonates, infants and children : how accurate are available scaling methods?. Clinical Pharmacokinetics 45(1): 1-11

Arab Chamjangali, M.; Beglari, M.; Bagherian, G. 2007: Prediction of cytotoxicity data (CC(50)) of anti-HIV 5-phenyl-1-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg-Marquardt algorithm. Journal of Molecular Graphics and Modelling 26(1): 360-367

Tiker, A.; Yarkoni, N.; Blaunstein, N.; Zilberman, A.; Kopeika, N. 2007: Prediction of data stream parameters in atmospheric turbulent wireless communication links. Applied Optics 46(2): 190-199

Kitakaze, H.; Matsuno, H.; Ikeda, N.; Miyano, S. 2005: Prediction of debacle points for robustness of biological pathways by using recurrent neural networks. Genome Informatics. International Conference on Genome Informatics 16(1): 192-202

Stefanelli, P.; Carattoli, A.; Neri, A.; Fazio, C.; Mastrantonio, P. 2003: Prediction of decreased susceptibility to penicillin of Neisseria meningitidis strains by real-time PCR. Journal of Clinical Microbiology 41(10): 4666-4670

Jutte, P.; Wuite, S.; The, B.; van Altena, R.; Veldhuizen, A. 2007: Prediction of deformity in spinal tuberculosis. Clinical Orthopaedics and Related Research 455: 196-201

Freter, S.H.; George, J.; Dunbar, M.J.; Morrison, M.; Macknight, C.; Rockwood, K. 2005: Prediction of delirium in fractured neck of femur as part of routine preoperative nursing care. Age and Ageing 34(4): 387-388

Olesen, A.W.; Thomsen, S.G. 2006: Prediction of delivery date by sonography in the first and second trimesters. Ultrasound in Obstetrics and Gynecology: the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology 28(3): 292-297

Carlsson, G.E.; Magnusson, T.; Egermark, I. 2004: Prediction of demand for treatment of temporomandibular disorders based on a 20-year follow-up study. Journal of Oral Rehabilitation 31(6): 511-517

Huijboom-Tan, H.L.; Veerkamp, J.S.J.; ten Berge, M. 2003: Prediction of dental behavior problems in preschool children. Nederlands Tijdschrift Voor Tandheelkunde 110(5): 185-189

King, M.; Weich, S.; Torres-González, F.; Svab, I.; Maaroos, H.-I.; Neeleman, J.; Xavier, M.; Morris, R.; Walker, C.; Bellón-Saameño, J.A.; Moreno-Küstner, B.; Rotar, D.; Rifel, J.; Aluoja, A.; Kalda, R.; Geerlings, M.I.; Carraça, I.; de Almeida, M.C.; Vicente, B.; Saldivia, S.; Rioseco, P.; Nazareth, I. 2006: Prediction of depression in European general practice attendees: the PREDICT study. Bmc Public Health 6: 6

Bauerle, K.; Greim, C.-A.; Schroth, M.; Geisselbrecht, M.; Köbler, A.; Roewer, N. 2004: Prediction of depth of sedation and anaesthesia by the Narcotrend EEG monitor. British Journal of Anaesthesia 92(6): 841-845

Tong, J.C.; Tan, T.W.; Sinha, A.A.; Ranganathan, S. 2006: Prediction of desmoglein-3 peptides reveals multiple shared T-cell epitopes in HLA DR4- and DR6-associated pemphigus vulgaris. Bmc Bioinformatics 7(Suppl 5): S7

Nohara, K.; Tachimura, T.; Wada, T. 2006: Prediction of deterioration of velopharyngeal function associated with maxillary advancement using electromyography of levator veli palatini muscle. Cleft Palate-Craniofacial Journal: Official Publication of the American Cleft Palate-Craniofacial Association 43(2): 174-178

Leese, G.P.; Morris, A.D. 2006: Prediction of diabetic foot ulcer occurrence using commonly available clinical information: response to Boyko et al. Diabetes care 29(11): 2562-3; author reply 2563

Wyns, B.; Sette, S.; Boullart, L.; Baeten, D.; Hoffman, I.E.A.; De Keyser, F. 2004: Prediction of diagnosis in patients with early arthritis using a combined Kohonen mapping and instance-based evaluation criterion. Artificial Intelligence in Medicine 31(1): 45-55

Yamamoto, T.; Hagima, N.; Nakamura, M.; Kohno, Y.; Nagata, K.; Yamazoe, Y. 2004: Prediction of differences in in vivo oral clearance of N,N-dipropyl-2-[4-methoxy-3-(2-phenylethoxy)phenyl] ethylamine monohydrochloride (NE-100) between extensive and poor metabolizers from in vitro metabolic data in human liver microsomes lacking CYP2D6 activity and recombinant CYPs. Xenobiotica; the Fate of Foreign Compounds in Biological Systems 34(7): 687-703

Acosta-Ortiz, R.; Schulte, J.K.; Sparks, B.; Marsh, W. 2004: Prediction of different mandibular activities by EMG signal levels. Journal of Oral Rehabilitation 31(5): 399-405

Ng, C.F.; Chan, L.W.; Wong, K.T.; Cheng, C.W.; Yu, S.C.H.; Wong, W.S. 2004: Prediction of differential creatinine clearance in chronically obstructed kidneys by non-contrast helical computerized tomography. International Braz J Urol: Official Journal of the Brazilian Society of Urology 30(2): 102-107; Discussion 108

Merah, N.A.; Foulkes-Crabbe, D.J.O.; Kushimo, O.T.; Ajayi, P.A. 2004: Prediction of difficult laryngoscopy in a population of Nigerian obstetric patients. West African Journal of Medicine 23(1): 38-41

Opitz v Boberfeld, W.; Theobald, P.C.; Laser, H. 2003: Prediction of digestibility and energy concentration of winter pasture forage and herbage of low-input grassland--a comparison of methods. Archiv für Tierernahrung 57(3): 167-176

Lang, W.; Zander, R. 2005: Prediction of dilutional acidosis based on the revised classical dilution concept for bicarbonate. Journal of Applied Physiology 98(1): 62-71

Pitman, M.R.; Menz, R.I.; Abbott, C.A. 2006: Prediction of dipeptidyl peptidase (DP) 8 structure by homology modelling. Advances in Experimental Medicine and Biology 575: 33-42

Lau, A.F.C.; Man, D.W.K. 2003: Prediction of discharge status of persons with brain injury in rehabilitation. International Journal of Rehabilitation Research. Internationale Zeitschrift für Rehabilitationsforschung. Revue Internationale de Recherches de Readaptation 26(4): 251-255

Kuo, C.T.; Hoon, D.S.B.; Takeuchi, H.; Turner, R.; Wang, H.-J.; Morton, D.L.; Taback, B. 2003: Prediction of disease outcome in melanoma patients by molecular analysis of paraffin-embedded sentinel lymph nodes. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 21(19): 3566-3572

Lin, H.; Chang, H.Y.; Huang, C.C.; Changchien, C.C. 2004: Prediction of disease persistence after conization for microinvasive cervical carcinoma and cervical intraepithelial neoplasia grade 3. International Journal of Gynecological Cancer: Official Journal of the International Gynecological Cancer Society 14(2): 311-316

Peng, Y.; Geraldrajan, M.; Chen, Q.; Sun, Y.; Johnson, J.R.; Shukla, A.J. 2006: Prediction of dissolution profiles of acetaminophen beads using artificial neural networks. Pharmaceutical Development and Technology 11(3): 337-349

Iwao-Koizumi, K.; Matoba, R.; Ueno, N.; Kim, S.J.; Ando, A.; Miyoshi, Y.; Maeda, E.; Noguchi, S.; Kato, K. 2005: Prediction of docetaxel response in human breast cancer by gene expression profiling. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 23(3): 422-431

Liu, H.; Liu, J. 2005: Prediction of domain interactive motif pairs. Conference Proceedings: . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2005: 7750-7753

Eidelman, Y.A.; Ritter, S.; Nasonova, E.; Lee, R.; Talyzina, T.A.; Andreev, S.G. 2006: Prediction of dose response for radiation induced exchange aberrations taking cell cycle delays into account. Radiation Protection Dosimetry 122(1-4): 185-187

Hue, O. 2003: Prediction of drafted-triathlon race time from submaximal laboratory testing in elite triathletes. Canadian Journal of Applied Physiology 28(4): 547-560

Söderström, S.T.; Pettersson, R.P.; Leppert, J. 2006: Prediction of driving ability after stroke and the effect of behind-the-wheel training. Scandinavian Journal of Psychology 47(5): 419-429

Akinwuntan, A.E.; Feys, H.; De Weerdt, W.; Baten, G.; Arno, P.; Kiekens, C. 2006: Prediction of driving after stroke: a prospective study. Neurorehabilitation and Neural Repair 20(3): 417-423

Wang, Z.; Li, X.-C.; Zhu, W.-X. 2006: Prediction of drug bioavailability by genetic algorithm and artificial neural network. Yao Xue Xue Bao 41(12): 1180-1183

Donoso, M.; Ghaly, E.S. 2004: Prediction of drug dissolution from tablets using near-infrared diffuse reflectance spectroscopy as a nondestructive method. Pharmaceutical Development and Technology 9(3): 247-263

Fu, X.C.; Wang, G.P.; Liang, W.Q.; Chow, M.S.S. 2004: Prediction of drug release from HPMC matrices: effect of physicochemical properties of drug and polymer concentration. Journal of Controlled Release: Official Journal of the Controlled Release Society 95(2): 209-216

Tan, N.C.K.; Berkovic, S.F. 2006: Prediction of drug resistance in epilepsy: not as easy as ABC. Lancet. Neurology 5(8): 641-642

Alaoui-Jamali, M.A.; Dupré, I.; Qiang, H. 2004: Prediction of drug sensitivity and drug resistance in cancer by transcriptional and proteomic profiling. Drug Resistance Updates: Reviews and Commentaries in Antimicrobial and Anticancer ChemoTherapy 7(4-5): 245-255

Sakurai, A.; Kurata, A.; Onishi, Y.; Hirano, H.; Ishikawa, T. 2007: Prediction of drug-induced intrahepatic cholestasis: in vitro screening and QSAR analysis of drugs inhibiting the human bile salt export pump. Expert Opinion on Drug Safety 6(1): 71-86

Jalaie, M.; Arimoto, R.; Gifford, E.; Schefzick, S.; Waller, C.L. 2004: Prediction of drug-like molecular properties: modeling cytochrome p450 interactions. Methods in Molecular Biology 275: 449-520

Jan, S.-L.; Hwang, B.; Fu, Y.-C.; Chi, C.-S. 2004: Prediction of ductus arteriosus closure by neonatal screening echocardiography. International Journal of Cardiovascular Imaging 20(4): 255-262

Gibby, R.G.; Stotsky, B.A.; Miller, D.R.; Hiler, E.W. 1953: Prediction of duration of therapy from the Rorschach test. Journal of Consulting Psychology 17(5): 348-354

Torti, C.; Uccelli, M.C.; Quiros-Roldan, E.; Gargiulo, F.; Tirelli, V.; Lapadula, G.; Regazzi, M.; Pierotti, P.; Tinelli, C.; De Luca, A.; Patroni, A.; Manca, N.; Carosi, G. 2006: Prediction of early and confirmed virological response by genotypic inhibitory quotients for lopinavir in patients naïve for lopinavir with limited exposure to previous protease inhibitors. Journal of Clinical Virology: the Official Publication of the Pan American Society for Clinical Virology 35(4): 414-419

Takeuchi, H.; Tsuji, K.; Ueo, H. 2005: Prediction of early and late recurrence in patients with breast carcinoma. Breast Cancer 12(3): 161-165

Chen, Z.-b.; Li, Y.-t.; Du, Q.-x. 2005: Prediction of early mental and behavior disorders by S-100b protein expression analysis in children with enterovirus encephalitis. Zhonghua Er Ke Za Zhi 43(12): 942-943

Lacourse, E.; Nagin, D.S.; Vitaro, F.; Côté, S.; Arseneault, L.; Tremblay, R.E. 2006: Prediction of early-onset deviant peer group affiliation: a 12-year longitudinal study. Archives of General Psychiatry 63(5): 562-568

Raes, J.; Korbel, J.O.; Lercher, M.J.; von Mering, C.; Bork, P. 2007: Prediction of effective genome size in metagenomic samples. Genome Biology 8(1): R10

De Vreede, I.M.; Burger, H.; van Vliet, I.M. 2006: Prediction of effectiveness of electroconvulsive therapy in major depression with routinely collected data. Tijdschrift Voor Psychiatrie 48(8): 619-625

Lucchinetti, E.; Stüssi, E. 2004: Prediction of elasticity constants in small biomaterial samples such as bone. a comparison between classical optimization techniques and identification with artificial neural networks. Proceedings of the Institution of Mechanical Engineers. Part H Journal of Engineering in Medicine 218(6): 389-405

Liu, C.-A.; Wang, C.-L.; Chuang, H.; Ou, C.-Y.; Hsu, T.-Y.; Yang, K.D. 2003: Prediction of elevated cord blood IgE levels by maternal IgE levels, and the neonate's gender and gestational age. Chang Gung Medical Journal 26(8): 561-569

Zhou, Y.-j.; Chen, F.-m.; Li, Z.-c. 2002: Prediction of eluotropic sequence of solutes in countercurrent chromatography. Se Pu 20(6): 526-527

Aires-de-Sousa, Jão.; Gasteiger, J. 2005: Prediction of enantiomeric excess in a combinatorial library of catalytic enantioselective reactions. Journal of Combinatorial Chemistry 7(2): 298-301

Gerna, G.; Sarasini, A.; Genini, E.; Percivalle, E.; Revello, M.G. 2006: Prediction of endothelial cell tropism of human cytomegalovirus strains. Journal of Clinical Virology: the Official Publication of the Pan American Society for Clinical Virology 35(4): 470-473

Matsuda, F.; Ishimura, S.; Wagatsuma, Y.; Higashi, T.; Hayashi, T.; Faruque, A.S.G.; Sack, D.A.; Nishibuchi, M. 2008: Prediction of epidemic cholera due to Vibrio cholerae O1 in children younger than 10 years using climate data in Bangladesh. Epidemiology and Infection 136(1): 73-79

Litt, B.; Echauz, J. 2002: Prediction of epileptic seizures. LANCET. Neurology 1(1): 22-30