Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Mamou, M; Rector, A; Schulz, S; Campbell, J; Solbrig, H; Rodrigues, JM.
Representing ICD-11 JLMMS Using IHTSDO Representation Formalisms.
Stud Health Technol Inform. 2016; 228:431-435
PubMed
- Co-Autor*innen der Med Uni Graz
- Schulz Stefan
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Cardiovascular Diseases - classification
- Humans -
- International Classification of Diseases - statistics & numerical data
- Linguistics -
- Systematized Nomenclature of Medicine -
- Terminology as Topic -