| Unsupervised method for extracting machine understandable medical knowledge from a large free text collection. | |
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MedLine Citation:
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PMID: 20351945 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Definitions of medical concepts (e.g diseases, drugs) are essential background knowledge for researchers, clinicians and health care consumers. However, the rapid growth of biomedical research requires that such knowledge continually needs updating. To address this problem, we have developed an unsupervised pattern learning approach that extracts disease and drug definitions from automatically structured randomized clinical trial (RCT) abstracts. In addition, each extracted definition is semantically classified without relying on external medical knowledge. When used to identify definitions from 100 manually annotated RCT abstracts, our medical definition knowledge base has precision of 0.97, recall of 0.93, F1 of 0.94 and semantic classification accuracy of 0.96. |
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Authors:
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Rong Xu; Amar K Das; Alan M Garber |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2009-11-14 |
Journal Detail:
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Title: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium Volume: 2009 ISSN: 1942-597X ISO Abbreviation: AMIA Annu Symp Proc Publication Date: 2009 |
Date Detail:
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Created Date: 2010-03-30 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101209213 Medline TA: AMIA Annu Symp Proc Country: United States |
Other Details:
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Languages: eng Pagination: 709-13 Citation Subset: IM |
Affiliation:
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Center for Biomedical Informatics Research. |
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