Ontology-based error detection in SNOMED-CT®

Werner Ceusters; Barry Smith; Anand Kumar; Christoffel Dhaen

doi:10.3233/978-1-60750-949-3-482

Ontology-based error detection in SNOMED-CT®

Werner Ceusters
, Barry Smith
, Anand Kumar
, Christoffel Dhaen

Institute for Formal Ontology and Medical Information Science
VP Research

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

49 Scopus citations

Abstract

Quality assurance in large terminologies is a difficult issue. We present two algorithms that can help terminology developers and users to identify potential areas of improvement. We demonstrate the methodology by applying the algorithms to one of the most popular terminologies, SNOMED-CT®. Analysis of the results provides evidence for the thesis that both formal logical and linguistic tools should be used in the development and quality-assurance process of large terminologies.

Original language	English
Pages (from-to)	482-486
Number of pages	5
Journal	Studies in Health Technology and Informatics
Volume	107
DOIs	https://doi.org/10.3233/978-1-60750-949-3-482
State	Published - 2004

Keywords

formal ontology
Medical natural language understanding
medical terminologies
quality assurance

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10.3233/978-1-60750-949-3-482

Cite this

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AU - Dhaen, Christoffel

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KW - Medical natural language understanding

KW - medical terminologies

KW - quality assurance

UR - https://www.scopus.com/pages/publications/67349122337

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Ontology-based error detection in SNOMED-CT®

Abstract

Keywords

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