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Ontological modeling of the International Classification of Functioning, Disabilities and Health (ICF): Activities&Participation and Environmental Factors components

Articolo
Data di Pubblicazione:
2021
Abstract:
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.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
Biomedical classifications; ICF; Ontology; Ontology engineering
Elenco autori:
Cozzi, Silvia; Martinuzzi, Andrea; Della Mea, Vincenzo
Autori di Ateneo:
MARTINUZZI Andrea
Link alla scheda completa:
https://iris.unito.it/handle/2318/2070651
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/2070651/1853485/Cozzi-2021-Ontological-modeling-of-the-interna.pdf
Pubblicato in:
BMC MEDICAL INFORMATICS AND DECISION MAKING
Journal
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