| k-Neighborhood decentralization: A comprehensive solution to index the UMLS for scale knowledge discovery. | |
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MedLine Citation:
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PMID: 22154838 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The Unified Medical Language System (UMLS) is the largest thesaurus in the biomedical informatics domain. Previous works have shown that knowledge constructs comprised of transitively-associated UMLS concepts are effective for discovering potentially novel biomedical hypotheses. However, the extremely large size of the UMLS becomes a major challenge for these applications. To address this problem, we designed a k-neighborhood Decentralization Labeling Scheme (kDLS) for the UMLS, and the corresponding method to effectively evaluate the kDLS indexing results. kDLS provides a comprehensive solution for indexing the UMLS for very efficient large scale knowledge discovery. We demonstrated that it is highly effective to use kDLS paths to prioritize disease-gene relations across the whole genome, with extremely high fold-enrichment values. To our knowledge, this is the first indexing scheme capable of supporting efficient large scale knowledge discovery on the UMLS as a whole. Our expectation is that kDLS will become a vital engine for retrieving information and generating hypotheses from the UMLS for future medical informatics applications. |
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Authors:
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Yang Xiang; Kewei Lu; Stephen L James; Tara B Borlawsky; Kun Huang; Philip R O Payne |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-2 |
Journal Detail:
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Title: Journal of biomedical informatics Volume: - ISSN: 1532-0480 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100970413 Medline TA: J Biomed Inform Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, United States. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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