Document Detail


A bottom-up approach to MEDLINE indexing recommendations.
MedLine Citation:
PMID:  22195224     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
MEDLINE indexing performed by the US National Library of Medicine staff describes the essence of a biomedical publication in about 14 Medical Subject Headings (MeSH). Since 2002, this task is assisted by the Medical Text Indexer (MTI) program. We present a bottom-up approach to MEDLINE indexing in which the abstract is searched for indicators for a specific MeSH recommendation in a two-step process. Supervised machine learning combined with triage rules improves sensitivity of recommendations while keeping the number of recommended terms relatively small. Improvement in recommendations observed in this work warrants further exploration of this approach to MTI recommendations on a larger set of MeSH headings.
Authors:
Antonio Jimeno-Yepes; Bartłomiej Wilkowski; James G Mork; Elizabeth Van Lenten; Dina Demner Fushman; Alan R Aronson
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Publication Detail:
Type:  Journal Article     Date:  2011-10-22
Journal Detail:
Title:  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium     Volume:  2011     ISSN:  1942-597X     ISO Abbreviation:  AMIA Annu Symp Proc     Publication Date:  2011  
Date Detail:
Created Date:  2011-12-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1583-92     Citation Subset:  IM    
Affiliation:
National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA.
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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