A case study of ICD-11 anatomy value set extraction from SNOMED CT

Guoqian Jiang, Harold R. Solbrig, Robert J.G. Chalmers, Kent Spackman, Alan L. Rector, Christopher G. Chute

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


The 11th revision of the International Classification of Diseases (ICD-11) intends to derive its "ontological component" from external ontologies (e.g. SNOMED CT). One of the core value sets is an ICD-11 anatomy chapter. The objective of the present study is to develop and evaluate approaches to value set extraction from SNOMED CT for the ICD-11 anatomy use case. We investigated a number of resources comprising SNOMED CT base terms, the anatomical term mappings between ICD-0 (ICD for Oncology) and SNOMED CT. the CORE Problem List Subset of SNOMED CT, and the SNOMED CT stated form in Web Ontology Language (OWL). We used the Manchester OWL module extraction tool and its extension in Protege 4.1. We proposed and evaluated four semiautomatic value set extraction strategies based on different clinical contexts and discussed their implications in terms of domain coverage, granularity and clinical usefulness from both technical and clinical perspectives.

Original languageEnglish (US)
Pages (from-to)133-138
Number of pages6
JournalCEUR Workshop Proceedings
StatePublished - Dec 1 2011
Event2nd International Conference on Biomedical Ontology, ICBO 2011 - Buffalo, NY, United States
Duration: Jul 26 2011Jul 30 2011


  • ICD-11
  • Ontology modularity
  • Value set definition
  • Web ontology language (OWL)

ASJC Scopus subject areas

  • General Computer Science


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