Future Internet 2012, 4(3), 762-775; doi:10.3390/fi4030762
Article

Knowledge Representation for Prognosis of Health Status in Rehabilitation

Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, MediaTIC Building, 08018 Barcelona, Spain
* Author to whom correspondence should be addressed.
Received: 27 April 2012; in revised form: 31 July 2012 / Accepted: 1 August 2012 / Published: 20 August 2012
(This article belongs to the Special Issue Future e-Health)
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Abstract: In this article, key points are discussed concerning knowledge representation for clinical decision support systems in the domain of physical medicine and rehabilitation. Information models, classifications and terminologies, such as the “virtual medical record” (vMR), the “international classification of functioning, disability and health” (ICF), the “international classification of diseases” (ICD) and the “systematized nomenclature of medicine—clinical terms” (SNOMED CT), are used for knowledge integration and reasoning. A system is described that supports the measuring of functioning status, diversity, prognosis and similarity between patients in the post-acute stage, thus helping health professionals’ prescription of recommendations.
Keywords: representation methods; clinical decision support systems; knowledge systems; rehabilitation; information models; classifications; terminologies

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MDPI and ACS Style

Subirats, L.; Ceccaroni, L.; Miralles, F. Knowledge Representation for Prognosis of Health Status in Rehabilitation. Future Internet 2012, 4, 762-775.

AMA Style

Subirats L, Ceccaroni L, Miralles F. Knowledge Representation for Prognosis of Health Status in Rehabilitation. Future Internet. 2012; 4(3):762-775.

Chicago/Turabian Style

Subirats, Laia; Ceccaroni, Luigi; Miralles, Felip. 2012. "Knowledge Representation for Prognosis of Health Status in Rehabilitation." Future Internet 4, no. 3: 762-775.

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