Representing ICD-11 JLMMS using IHTSDO representation formalisms

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

doi:10.3233/978-1-61499-678-1-431

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 journal › Conference article › peer-review

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 language	English (US)
Pages (from-to)	431-435
Number of pages	5
Journal	Studies in health technology and informatics
Volume	228
DOIs	https://doi.org/10.3233/978-1-61499-678-1-431
State	Published - 2017
Externally published	Yes
Event	Medical Informatics Europe Conference, MIE 2016 at the Health - Exploring Complexity: An Interdisciplinary Systems Approach, HEC 2016 - Munich, Germany Duration: Aug 28 2016 → Sep 2 2016

Keywords

ICD-11
Ontology alignment
Snomed CT

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

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10.3233/978-1-61499-678-1-431

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title = "Representing ICD-11 JLMMS using IHTSDO representation formalisms",

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.",

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T1 - Representing ICD-11 JLMMS using IHTSDO representation formalisms

AU - Mamou, Marzouk

AU - Rector, Alan

AU - Schulz, Stefan

AU - Campbell, James

AU - Solbrig, Harold

AU - Rodrigues, Jean Marie

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - ICD-11

KW - Ontology alignment

KW - Snomed CT

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T2 - Medical Informatics Europe Conference, MIE 2016 at the Health - Exploring Complexity: An Interdisciplinary Systems Approach, HEC 2016

Y2 - 28 August 2016 through 2 September 2016

ER -

Representing ICD-11 JLMMS using IHTSDO representation formalisms

Abstract

Keywords

ASJC Scopus subject areas

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