Representing ICD-11 JLMMS using IHTSDO representation formalisms

Marzouk Mamou, Alan Rector, Stefan Schulz, James Campbell, Harold Solbrig, Jean Marie Rodrigues

Research output: Contribution to journalConference article

5 Scopus citations

Abstract

It is investigated whether the content of the Joint Linearization for Mortality and Morbidity Statistics of the 11th ICD revision can be semantically represented by formalisms acting on the clinical terminology SNOMED CT, viz. the IHTSDO Compositional Grammar (CG) and the Expression Constraint Language (ECL). Whereas CG provides a composition syntax for building coordinated SNOMED CT expressions, ECL provides a powerful query mechanism. Both formalisms can be leveraged to guarantee inter-operation between an ontology-based terminology like SNOMED CT and a statistical classification like ICD, characterized by single hierarchies and exhaustive, mutually exclusive classes. We test the feasibility of the method on the circulatory chapter of ICD-11 JLMMS.

Original languageEnglish (US)
Pages (from-to)431-435
Number of pages5
JournalStudies in health technology and informatics
Volume228
DOIs
StatePublished - 2017
EventMedical Informatics Europe Conference, MIE 2016 at the Health - Exploring Complexity: An Interdisciplinary Systems Approach, HEC 2016 - Munich, Germany
Duration: Aug 28 2016Sep 2 2016

Keywords

  • ICD-11
  • Ontology alignment
  • Snomed CT

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Fingerprint Dive into the research topics of 'Representing ICD-11 JLMMS using IHTSDO representation formalisms'. Together they form a unique fingerprint.

  • Cite this