Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/150681
Title: An ontology for computer-based decision support in rehabilitation
Author: Subirats, Laia  
Ceccaroni, Luigi  
Citation: Subirats, L. [Laia] & Ceccaroni, L. [Luigi]. (2011). An Ontology for Computer-Based Decision Support in Rehabilitation. A Batyrshin, I.& Sidorov, G. (eds). Advances in Artificial Intelligence. MICAI 2011. Lecture Notes in Computer Science(), vol 7094. Springer, Berlin, Heidelberg. doi: 0.1007/978-3-642-25324-9_47
Abstract: Although functionality and disease classifications are available thanks to initiatives such as the “international classification of functioning, disability and health”, the “systematized nomenclature of medicine - clinical terms” and the “international classification of diseases”, a formal model of rehabilitation interventions has not been defined yet. This model can have a fundamental role in the design of computer-based decision support in rehabilitation. Some initiatives such as the “international classification of health interventions” are in development, but their scope is overly general to cope with the specificities that characterize rehabilitation. The aim of this work is to represent knowledge in order to carry out diagnosis and personalization of activities in cases of people with functional diversity. To define the diagnosis and activity personalization, a methodology has been developed to extract standardized concepts from clinical scales and the literature.
Keywords: personalized medicine
evidence-based medicine
knowledge representation
rehabilitation
functional diversity
DOI: https://doi.org/10.1007/978-3-642-25324-9_47
Document type: info:eu-repo/semantics/conferenceObject
Version: info:eu-repo/semantics/acceptedVersion
Issue Date: 2011
Appears in Collections:Conferències

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