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Paper ID: 1716

Mining and Modelling Temporal Clinical Data
Henk,Harkema Andrea,Setzer Rob,Gauzauskas Mark,Hepple Richard,Power Jeremy,Rogers

Appeared in: Proceedings of the UK e-Science All Hands Conference 2005 website: http://www.allhands.org.uk/2005/
Page Numbers:
Publisher: Engineering and Physical Sciences Research Council
Year: 2005
ISBN/ISSN: 1-904425-53-4
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2005/proceedings/papers/507.pdf

Abstract: The Clinical e-Science Framework (CLEF) prototype runs Information Extraction technology over textual, narrative patient notes to assemble repositories of clinical patient data for the purposes of biomedical research and clinical care. Since many important medical events in a patient's health journey are mentioned in multiple documents and most documents will only include partial descriptions of these events, obtaining a coherent and complete summary of a patient's history requires a data integration step over the output of Information Extraction. In our presentation we will outline an approach to data integration based on mining both patient notes and the structured, non-narrative part of a patient record for temporal properties of medically relevant events.

Keywords: e-Science, AHM 2005


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Last Updated: 22 Jun 12 11:02
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