+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Medical temporal-knowledge discovery via temporal abstraction



Medical temporal-knowledge discovery via temporal abstraction



AMIA .. Annual Symposium Proceedings. AMIA Symposium 2009: 452-456



Medical knowledge includes frequently occurring temporal patterns in longitudinal patient records. These patterns are not easily detectable by human clinicians. Current knowledge could be extended by automated temporal data mining. However, multivariate time-oriented data are often present at various levels of abstraction and at multiple temporal granularities, requiring a transformation into a more abstract, yet uniform dimension suitable for mining. Temporal abstraction (of both the time and value dimensions) can transform multiple types of point-based data into a meaningful, time-interval-based data representation, in which significant, interval-based temporal patterns can be discovered. We introduce a modular, fast time-interval mining method, KarmaLego, which exploits the transitivity inherent in temporal relations. We demonstrate the usefulness of KarmaLego in finding meaningful temporal patterns within a set of records of diabetic patients; several patterns seem to have a different frequency depending on gender. We also suggest additional uses of the discovered patterns for temporal clustering of the mined population and for classifying multivariate time series.

Please choose payment method:






(PDF emailed within 1 workday: $29.90)

Accession: 054311868

Download citation: RISBibTeXText

PMID: 20351898


Related references

Knowledge acquisition for temporal abstraction. Proceedings 1996: 204-208, 1996

Knowledge-based temporal abstraction in diabetes therapy. Medinfo. Medinfo 8 Pt 1: 852-856, 1995

Knowledge-based temporal abstraction in clinical domains. Artificial Intelligence in Medicine 8(3): 267-298, 1996

Knowledge-based temporal abstraction for diabetic monitoring. Proceedings. Symposium on Computer Applications in Medical Care 1994: 697-701, 1994

Semi-automated entry of clinical temporal-abstraction knowledge. Journal of the American Medical Informatics Association 6(6): 494-511, 1999

Knowledge reuse: temporal-abstraction mechanisms for the assessment of children's growth. Proceedings. Symposium on Computer Applications in Medical Care 1993: 449-453, 1993

Temporal abstraction and temporal Bayesian networks in clinical domains: a survey. Artificial Intelligence in Medicine 60(3): 133-149, 2014

A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning. International Journal of Medical Informatics 74(2-4): 307-315, 2005

A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning. Studies in Health Technology and Informatics 95: 571-576, 2003

A temporal abstraction framework for classifying clinical temporal data. AMIA .. Annual Symposium Proceedings. AMIA Symposium 2009: 29-33, 2009

RASTA: a distributed temporal abstraction system to facilitate knowledge-driven monitoring of clinical databases. Studies in Health Technology and Informatics 84(Pt 1): 508-512, 2001

Prefrontal cortex organization: dissociating effects of temporal abstraction, relational abstraction, and integration with FMRI. Cerebral Cortex 24(9): 2377-2387, 2014

Characterizing strategic patterns of farms with knowledge-based temporal abstraction: the case of suckler sheep farms. AI Applications 10(3): 41-55, 1996

Temporal relation discovery between events and temporal expressions identified in clinical narrative. Journal of Biomedical Informatics 46 Suppl: S48-S53, 2013

Multi-dimensional temporal abstraction and data mining of medical time series data: trends and challenges. Conference Proceedings 2008: 4322-4325, 2008