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Proceedings of the AMIA Annual Fall Symposium logoLink to Proceedings of the AMIA Annual Fall Symposium
. 1997:630–634.

Partitioning a vocabulary's IS-A hierarchy into trees.

H Gu 1, Y Perl 1, J Geller 1, M Halper 1, J J Cimino 1, M Singh 1
PMCID: PMC2233245  PMID: 9357702

Abstract

Controlled medical vocabularies are useful in application areas such as medical information-systems and decision-support. However, such vocabularies are large and complex, and working with them can be daunting. It is important to provide a means for orienting users to the vocabulary's contents. This paper introduces a methodology for partitioning a vocabulary into small, meaningful pieces. The partitioning is done with respect to the vocabulary's IS-A hierarchy. The methodology, based on a set of rules for refining the IS-A hierarchy, is a process carried out by a user in conjunction with the computer. The methodology is demonstrated on a complex portion of a vocabulary.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Cimino J. J., Clayton P. D., Hripcsak G., Johnson S. B. Knowledge-based approaches to the maintenance of a large controlled medical terminology. J Am Med Inform Assoc. 1994 Jan-Feb;1(1):35–50. doi: 10.1136/jamia.1994.95236135. [DOI] [PMC free article] [PubMed] [Google Scholar]

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

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