Next Article in Journal / Special Issue
Adapted User-Centered Design: A Strategy for the Higher User Acceptance of Innovative e-Health Services
Previous Article in Journal
Context-Based Orchestration for Control of Resource-Efficient Manufacturing Processes
Previous Article in Special Issue
Traditional Practice vs. New Tools and Routines in Stroke Treatment
Future Internet 2012, 4(3), 762-775; doi:10.3390/fi4030762
Article

Knowledge Representation for Prognosis of Health Status in Rehabilitation

* ,
 and
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)
View Full-Text   |   Download PDF [470 KB, uploaded 20 August 2012]   |   Browse Figures
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 representation methods; clinical decision support systems; knowledge systems; rehabilitation; information models; classifications; terminologies
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


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.


Future Internet EISSN 1999-5903 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert