Section 50

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