Finding UMLS Metathesaurus concepts in MEDLINE

  title={Finding UMLS Metathesaurus concepts in MEDLINE},
  author={Suresh Srinivasan and Thomas C. Rindflesch and William T. Hole and Alan R. Aronson and James G. Mork},
  journal={Proceedings. AMIA Symposium},
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… CONTINUE READING
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