Document (#24689)

Author

Patrick, T.B.
Sievert, M.C.
Ries, J.
Popescu, M.
Andrews, J.
Reid, J.C.

Title

Clustering terms in health care terminologies

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

Imprint

Medford, NJ : Information Today

Year

1999

Pages

S.365-380

Series

Proceedings of the American Society for Information Science; vol.36

Abstract

The authors describe the development of processes and methods for user-centered access to collections of information. The implementation of this general model uses a standard terminology to represent the information collection and a set of possibly overlapping user domains to represent a social network. The goal of the implementation is to provide access to the terminology that is tailored to the needs of specific combinations of user domains. A pilot study using the Metathesaurus of the Unified Medical Language System and the user domains of consumer, radiologist, ophthalmologist, and family medicine physician was conducted by clustering terms across these domains. In three of the domains, consumer, radiologist, and ophthalmologist, we extracted terms from sources with user-warrant-- unpublished, work-related documents (e.g. clinical notes or email messages). For all four domains we extracted terms from sources with literary-warrant-- published documents (e.g. scientific journal articles or patient information pamphlets. For the clustering, the authors used a standard minimum spanning tree clustering algorithm with a weighted binary vector distance. The clustering algorithm produced clusters of quasi-synonyms and provided an alternative way to view the terms in the Metathesaurus

Field

Medizin
Pharmazie

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