Complexity measures to track the evolution of a SNOMED hierarchy.

Document Type

Article

Publication Date

1-1-2008

Abstract

SNOMED CT is an extensive terminology with an attendant amount of complexity. Two measures are proposed for quantifying that complexity. Both are based on abstraction networks, called the area taxonomy and the partial-area taxonomy, that provide, for example, distributions of the relationships within a SNOMED hierarchy. The complexity measures are employed specifically to track the complexity of versions of the Specimen hierarchy of SNOMED before and after it is put through an auditing process. The pre-audit and post-audit versions are compared. The results show that the auditing process indeed leads to a simplification of the terminology's structure.

Identifier

73949090147 (Scopus)

Publication Title

AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium

e-ISSN

1942597X

PubMed ID

18998922

First Page

778

Last Page

782

Grant

R01LM008912

Fund Ref

U.S. National Library of Medicine

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