Paper Info
Title
Finding UMLS Metathesaurus concepts in MEDLINE.
Abstract
The entire collection of about 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.
Year
Venue
Keywords
2002
AMIA 2002 SYMPOSIUM, PROCEEDINGS: BIOMEDICAL INFORMATICS: ONE DISCIPLINE
english language,noun phrase,spectrum,unified medical language system,subject headings,semantics
Field
DocType
ISSN
Noun phrase,Information retrieval,Computer science,Metathesaurus Names,Natural language processing,Artificial intelligence,Parsing,Umls metathesaurus,Unified Medical Language System,MEDLINE,Syntax,Semantics
Conference
1531-605X
Citations 
PageRank 
References 
20
2.87
7
Authors
5
Name
Order
Citations
PageRank
Suresh Srinivasan134029.28
Thomas C Rindflesch21620147.18
William T. Hole39220.50
Alan R. Aronson42551260.67
James G. Mork564765.22