Journal
BMC MEDICAL INFORMATICS AND DECISION MAKING
Volume 21, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s12911-021-01729-x
Keywords
ICF; Ontology; Ontology engineering; Biomedical classifications
Categories
Funding
- Italian Ministry of Health
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In this study, an ontological formalization of ICF focusing on the interaction between activities and participation and environmental factors was proposed. A conceptual model with 202 entities was defined and validated against 60 case studies from the literature and 6 ad-hoc case studies. The model was then represented using OWL, which may serve as a basis for revising the ICF classification in alignment with WHO's efforts on the International Classification of Diseases and the International Classification of Health Interventions.
Background The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related states developed by the World Health Organization (WHO) to provide a standard and unified language to be used as a reference model for the description of health and health-related states. The concept of functioning on which ICF is based is that of a dynamic interaction between a person's health condition, environmental factors and personal factors. This overall model has been translated into a classification covering all the main components of functioning. However, the practical use of ICF has highlighted some formal problems, mainly concerning conceptual clarity and ontological coherence. Methods In the present work, we propose an initial ontological formalization of ICF beyond its current status, focusing specifically on the interaction between activities and participation and environmental factors. The formalization has been based on ontology engineering methods to drive goal and scope definition, knowledge acquisition, selection of an upper ontology for mapping, conceptual model definition and evaluation, and finally representation using the Ontology Web Language (OWL). Results A conceptual model has been defined in a graphical language that included 202 entities, when possible mapped to the SUMO upper ontology. The conceptual model has been validated against 60 case studies from the literature, plus 6 ad-hoc case studies. The model has been then represented using OWL. Conclusions This formalization might provide the basis for a revision of the ICF classification in line with current efforts made by WHO on the International Classification of Diseases and on the International Classification of Health Interventions.
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