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Paper ID: 1693

Information Extraction from Clinical Records
Robert,Gaizauskas Henk,Harkema Mark,Hepple Ian,Roberts

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/477.pdf

Abstract: Much of the wealth of information that exists in patient clinical records is difficult or impractical to access, due to it being recorded in unstructured textual formats and the large volume of records available. To facilitate access to this information, we introduce AMBIT: a text analysis system designed to extract key information from clinical and biomedical text. Information derived in this way, and stored in a structured format, can be used in various ways to assist in the provision and development of clinical care. In this paper we discuss the architecture and functionality of AMBIT, and present evaluation results regarding its performance on an information extraction task in the medical domain.

Keywords: e-Science, AHM 2005


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