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Finding UMLS Metathesaurus Concepts in MEDLINE.

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Srinivasan S, Rindflesch TC, Hole WT, Aronson AR, Mork JG
Proc AMIA Symp. 2002:727-31.
Abstract: 

The entire collection of 11.5 million MEDLINE abstracts was processed to extract 549 million noun phrases using a shallow syntactic parser. English language strings in the 2002 and 2001 releases of the UMLS Metathesaurus were then matched against these phrases using flexible matching techniques. 34% of the Metathesaurus names (occurring in 30% of the concepts) were found in the titles and abstracts of articles in the literature. The matching concepts are fairly evenly chemical and non-chemical in nature and span a wide spectrum of semantic types. This paper details the approach taken and the results of the analysis.

Srinivasan S, Rindflesch TC, Hole WT, Aronson AR, Mork JG. Finding UMLS Metathesaurus Concepts in MEDLINE. Proc AMIA Symp. 2002:727-31.