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Knowledge Representation for Prognosis of Health Status in Rehabilitation

Author

Listed:
  • Laia Subirats

    (Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, MediaTIC Building, 08018 Barcelona, Spain)

  • Luigi Ceccaroni

    (Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, MediaTIC Building, 08018 Barcelona, Spain)

  • Felip Miralles

    (Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, MediaTIC Building, 08018 Barcelona, Spain)

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.

Suggested Citation

  • Laia Subirats & Luigi Ceccaroni & Felip Miralles, 2012. "Knowledge Representation for Prognosis of Health Status in Rehabilitation," Future Internet, MDPI, vol. 4(3), pages 1-14, August.
    • Handle: RePEc:gam:jftint:v:4:y:2012:i:3:p:762-775:d:19554
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    References listed on IDEAS

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    1. Catia Pesquita & Daniel Faria & André O Falcão & Phillip Lord & Francisco M Couto, 2009. "Semantic Similarity in Biomedical Ontologies," PLOS Computational Biology, Public Library of Science, vol. 5(7), pages 1-12, July.
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    Cited by:

    1. Laia Subirats & Raquel Lopez-Blazquez & Luigi Ceccaroni & Mariona Gifre & Felip Miralles & Alejandro García-Rudolph & Jose María Tormos, 2015. "Monitoring and Prognosis System Based on the ICF for People with Traumatic Brain Injury," IJERPH, MDPI, vol. 12(8), pages 1-16, August.
    2. Mireia Calvo & Laia Subirats & Luigi Ceccaroni & José María Maroto & Carmen De Pablo & Felip Miralles, 2013. "Automatic Assessment of Socioeconomic Impact on Cardiac Rehabilitation," IJERPH, MDPI, vol. 10(11), pages 1-18, October.

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