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Proc AMIA Symp. 2002 : 116–120.
PMCID: PMC2244264

Initializing the VA medication reference terminology using UMLS metathesaurus co-occurrences.

Abstract

We developed and evaluated a UMLS Metathesaurus Co-occurrence mining algorithm to connect medications and diseases they may treat. Based on 16 years of co-occurrence data, we created 977 candidate drug-disease pairs for a sample of 100 ingredients (50 commonly prescribed and 50 selected at random). Our evaluation showed that more than 80% of the candidate drug-disease pairs were rated "APPROPRIATE" by physician raters. Additionally, there was a highly significant correlation between the overall frequency of citation and the likelihood that the connection was rated "APPROPRIATE." The drug-disease pairs were used to initialize term definitions in an ongoing effort to build a medication reference terminology for the Veterans Health Administration. Co-occurrence mining is a valuable technique for initializing term definitions in a large-scale reference terminology creation project.

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Selected References

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  • Johnson Connie L, Carlson Russell A, Tucker Chris L, Willette Candice. Using BCMA software to improve patient safety in Veterans Administration Medical Centers. J Healthc Inf Manag. 2002 Winter;16(1):46–51. [PubMed]
  • Cimino JJ. Desiderata for controlled medical vocabularies in the twenty-first century. Methods Inf Med. 1998 Nov;37(4-5):394–403. [PubMed]
  • Lau LM, Johnson K, Monson K, Lam SH, Huff SM. A method for the automated mapping of laboratory results to LOINC. Proc AMIA Symp. 2000:472–476. [PMC free article] [PubMed]
  • Cimino JJ, Clayton PD, Hripcsak G, Johnson SB. Knowledge-based approaches to the maintenance of a large controlled medical terminology. J Am Med Inform Assoc. 1994 Jan-Feb;1(1):35–50. [PMC free article] [PubMed]
  • Lau LM, Lam SH. Applying the desiderata for controlled medical vocabularies to drug information databases. Proc AMIA Symp. 1999:97–101. [PMC free article] [PubMed]
  • Lipscomb CE. Medical Subject Headings (MeSH). Bull Med Libr Assoc. 2000 Jul;88(3):265–266. [PMC free article] [PubMed]
  • Zeng Q, Cimino JJ. Automated knowledge extraction from the UMLS. Proc AMIA Symp. 1998:568–572. [PMC free article] [PubMed]
  • Burgun A, Bodenreider O. Methods for exploring the semantics of the relationships between co-occurring UMLS concepts. Stud Health Technol Inform. 2001;84(Pt 1):171–175. [PubMed]
  • Merrick NJ, Fink A, Park RE, Brook RH, Kosecoff J, Chassin MR, Solomon DH. Derivation of clinical indications for carotid endarterectomy by an expert panel. Am J Public Health. 1987 Feb;77(2):187–190. [PubMed]
  • Rector AL. Thesauri and formal classifications: terminologies for people and machines. Methods Inf Med. 1998 Nov;37(4-5):501–509. [PubMed]

Articles from Proceedings of the AMIA Symposium are provided here courtesy of American Medical Informatics Association