An evaluation of hybrid methods for matching biomedical terminologies: Mapping the gene ontology to the UMLS®

M. N. Cantor, I. N. Sarkar, R. Gelman, F. Hartel, O. Bodenreider, Y. A. Lussier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Integration of disparate biomedical terminologies is becoming increasingly important as links between biological science and clinical medicine grow. Mapping concepts in the Gene OntologyTM(GO) to the UMLS may help further this integration and allow for more efficient information exchange among researchers. Using a gold standard of GO term - UMLS concept mappings provided by the NCI, we examined the performance of various published and combined mapping techniques, in order to maximize precision and recall. We found that for the previously published techniques precision varied between (0.61-0.95), and recall varied from (0.65-0.90), whereas for the hybrid techniques, precision varied between (0.66-0.97), and recall from (0.59-0.93). Our study reveals the benefits of using mapping techniques that incorporate domain knowledge, and provides a basis for future approaches to mapping between distinct biomedical vocabularies.

Original languageEnglish (US)
Title of host publicationThe New Navigators
Subtitle of host publicationFrom Professional to Patients - Proceedings of MIE 2003
PublisherIOS Press
Pages62-67
Number of pages6
ISBN (Print)1586033476, 9781586033477
DOIs
StatePublished - 2003
Event18th International Congress of the European Federation for Medical Informatics, MIE 2003 - St. Malo, France
Duration: May 4 2003May 7 2003

Publication series

NameStudies in Health Technology and Informatics
Volume95
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other18th International Congress of the European Federation for Medical Informatics, MIE 2003
Country/TerritoryFrance
CitySt. Malo
Period5/4/035/7/03

Keywords

  • Bioinformatics
  • Gene Ontology
  • Mapping Terminologies
  • Medical Informatics
  • Unified Medical Language System

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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