Mistakes in medical ontologies: Where do they come from and how can they be detected?

Werner Ceusters; Barry Smith; Anand Kumar; Christoffel Dhaen

doi:10.3233/978-1-60750-945-5-145

Mistakes in medical ontologies: Where do they come from and how can they be detected?

Werner Ceusters
, Barry Smith
, Anand Kumar
, Christoffel Dhaen

University at Buffalo

Research output: Contribution to journal › Article › peer-review

59 Scopus citations

Abstract

We present the details of a methodology for quality assurance in large medical terminologies and describe three algorithms that can help terminology developers and users to identify potential mistakes. The methodology is based in part on linguistic criteria and in part on logical and ontological principles governing sound classifications. We conclude by outlining the results of applying the methodology in the form of a taxonomy different types of errors and potential errors detected in SNOMED-CT^®.

Original language	English
Pages (from-to)	145-163
Number of pages	19
Journal	Studies in Health Technology and Informatics
Volume	102
DOIs	https://doi.org/10.3233/978-1-60750-945-5-145
State	Published - 2004

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AB - We present the details of a methodology for quality assurance in large medical terminologies and describe three algorithms that can help terminology developers and users to identify potential mistakes. The methodology is based in part on linguistic criteria and in part on logical and ontological principles governing sound classifications. We conclude by outlining the results of applying the methodology in the form of a taxonomy different types of errors and potential errors detected in SNOMED-CT®.

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Mistakes in medical ontologies: Where do they come from and how can they be detected?

Abstract

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