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Beyond classifications

Entities of knowledge exchange

Bibliographic Data

ID12828419
AuthorsBedirhan Ustun (0000-0003-4718-505X, World Health Organization, corresponding author), Nenad Kostansjek (World Health Organization)
Year2009
Volume9
Issue5
Publication date2009-06-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Integrated Care (JOURNAL)
Journal identifiersISSN: 1568-4156 • E-ISSN: 1568-4156
PublisherUbiquity Press (PUBLISHER • GB)
DOI10.5334/ijic.392
OpenAlexW1836910954
LanguageEN

Introduction: WHO's reference classifications, ICD and ICF have traditionally served as standards for disease, health and disability related data. To meet the requirements of health (and disability) information systems in the 21st century WHO classifications need to represent the knowledge digitally in a coherent semantic structure. The knowledge representation in a classification requires that the information entities need to be identified with clear attributes and values and put into the context of an overall information model

Context (archaeology · Data science · Geography · Health care · Information retrieval · Knowledge management · Representation (politics · Biomedical Text Mining and Ontologies · Computer Science · Medical Coding and Health Information · Health Informatics

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae