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A Pervasive Healthcare System for COPD Patients

Department of Computer Sciences and Mathematics, University of Québec at Chicoutimi, QC G7H 2B1, Canada
Department of Mathematical and Industrial Engineering, Polytechnic of Montreal, Station centre-ville, Montreal, H3C 3A7, Canada
Author to whom correspondence should be addressed.
Diagnostics 2019, 9(4), 135;
Received: 27 June 2019 / Revised: 17 September 2019 / Accepted: 26 September 2019 / Published: 1 October 2019
Chronic obstructive pulmonary disease (COPD) is one of the most severe public health problems worldwide. Pervasive computing technology creates a new opportunity to redesign the traditional pattern of medical system. While many pervasive healthcare systems are currently found in the literature, there is little published research on the effectiveness of these paradigms in the medical context. This paper designs and validates a rule-based ontology framework for COPD patients. Unlike conventional systems, this work presents a new vision of telemedicine and remote care solutions that will promote individual self-management and autonomy for COPD patients through an advanced decision-making technique. Rules accuracy estimates were 89% for monitoring vital signs, and environmental factors, and 87% for nutrition facts, and physical activities. View Full-Text
Keywords: context-aware system; COPD; ontology; semantic web rule language (SWRL); healthcare systems context-aware system; COPD; ontology; semantic web rule language (SWRL); healthcare systems
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Ajami, H.; Mcheick, H.; Mustapha, K. A Pervasive Healthcare System for COPD Patients. Diagnostics 2019, 9, 135.

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