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. 2003:439-50.
doi: 10.1142/9789812776303_0041.

Linking biomedical language information and knowledge resources: GO and UMLS

I N Sarkar  1 , M N Cantor, R Gelman, F Hartel, Y A Lussier
Affiliations

Linking biomedical language information and knowledge resources: GO and UMLS

I N Sarkar et al. Pac Symp Biocomput. 2003.

Abstract

Integration of various informatics terminologies will be an essential activity towards supporting the advancement of both the biomedical and clinical sciences. The GO consortium has developed an impressive collection of biomedical terms specific to genes and proteins in a variety of organisms. The UMLS is a composite collection of various medical terminologies, pioneered by the National Library of Medicine. In the present study, we examine a variety of techniques for mapping terms from one terminology (GO) to another (UMLS), and describe their respective performances for a small, curated data set attained from the National Cancer Institute, which had precision values ranging from 30% (100% recall) to 95% (74% recall). Based on each technique's performance, we comment on how each can be used to enrich an existing terminology (UMLS) in future studies and how linking biological terminologies to UMLS differs from linking medical terminologies.

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Figures

Figure 1
Figure 1. Precision versus Recall according to the mapping method
See this image and copyright information in PMC

References

    1. Altman RB, Klein TE. Challenges for Biomedical Informatics and Pharmacogenomics. Annual Review of Pharmacology & Toxicology. 2002;42:113–133. - PubMed
    1. Nakamura RM. Technology That Will Initiate Future Revolutionary Changes in Healthcare and the Clinical Laboratory. J Clin Lab Anal. 1999;13:49–52. - PMC - PubMed
    1. Shortliffe EH, Perrault LE, editors. Medical Informatics: Computer Applications in Health Care and Biomedicine. Springer; New York: 2001.
    1. Lindberg DA, Humphries BL, McCray AT. The Unified Medical Language System. Methods Inf Med. 1993;32(4):281–291. - PMC - PubMed
    1. Yu H, Friedman C, Rhzetsky A, Kra P. Representing Genomic Knowledge in the UMLS Semantic Network. 1999 Proc Annu Symp Am Med Inf Assoc; 1999. pp. 181–186. - PMC - PubMed

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