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An ontology-based framework aiming to support personalized exercise prescription: application in cardiac rehabilitation.
Kostopoulos, Konstantinos; Chouvarda, Ioanna; Koutkias, Vassilis; Kokonozi, Athina; van Gils, Mark; Maglaveras, Nicos.
Afiliação
  • Kostopoulos K; Lab. of Medical Informatics, Medical School, Aristotle University of Thessaloniki, 54124, PO Box 323, Thessaloniki, Greece. kkostopo@med.auth.gr
Article em En | MEDLINE | ID: mdl-22254621
ABSTRACT
Exercise constitutes an important intervention aiming to improve health and quality of life for several categories of patients. Personalized exercise prescription is a rather complicated issue, requiring several aspects to be taken into account, e.g. patient's medical history and response to exercise, medication treatment, personal preferences, etc. The present work proposes an ontology-based framework designed to facilitate healthcare professionals in personalized exercise prescription. The framework encapsulates the necessary domain knowledge and the appropriate inference logic, so as to generate exercise plan suggestions based on patient's profile. It also supports readjustments of a prescribed plan according to the patient's response with respect to goal achievement and changes in physical-medical status. An instantiation of the proposed framework for cardiac rehabilitation illustrates the virtue and the applicability of this work.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Terapia Assistida por Computador / Software / Sistemas de Apoio a Decisões Clínicas / Terapia por Exercício / Prescrição Eletrônica / Medicina de Precisão / Reabilitação Cardíaca Tipo de estudo: Prognostic_studies Aspecto: Patient_preference Limite: Humans Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Ano de publicação: 2011 Tipo de documento: Article País de afiliação: Grécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Terapia Assistida por Computador / Software / Sistemas de Apoio a Decisões Clínicas / Terapia por Exercício / Prescrição Eletrônica / Medicina de Precisão / Reabilitação Cardíaca Tipo de estudo: Prognostic_studies Aspecto: Patient_preference Limite: Humans Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Ano de publicação: 2011 Tipo de documento: Article País de afiliação: Grécia