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Electronics 2018, 7(12), 371;

Ontology-Based Model to Support Ubiquitous Healthcare Systems for COPD Patients

Department of Computer Sciences and Mathematics, University of Québec at Chicoutimi; Chicoutimi, QC G7H 2B1, Canada
Author to whom correspondence should be addressed.
Received: 20 October 2018 / Revised: 13 November 2018 / Accepted: 22 November 2018 / Published: 2 December 2018
(This article belongs to the Special Issue Data Processing and Wearable Systems for Effective Human Monitoring)
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Over the past 30 years, information technology has gradually transformed the way health care is provisioned for patients. Chronic Obstructive Pulmonary Disease (COPD) is an incurable malady that threatens the lives of millions around the world. The huge amount of medical information in terms of complex interdependence between progression of health problems and various other factors makes the representation of data more challenging. This study investigated how formal semantic standards could be used for building an ontology knowledge repository to provide ubiquitous healthcare and medical recommendations for COPD patient to reduce preventable harm. The novel contribution of the suggested framework resides in the patient-centered monitoring approach, as we work to create dynamic adaptive protection services according to the current context of patient. This work executes a sequential modular approach consisting of patient, disease, location, devices, activities, environment and services to deliver personalized real-time medical care for COPD patients. The main benefits of this project are: (1) adhering to dynamic safe boundaries for the vital signs, which may vary depending on multiple factors; (2) assessing environmental risk factors; and (3) evaluating the patient’s daily activities through scheduled events to avoid potentially dangerous situations. This solution implements an interrelated set of ontologies with a logical base of Semantic Web Rule Language (SWRL) rules derived from the medical guidelines and expert pneumologists to handle all contextual situations. View Full-Text
Keywords: ontology; context-aware applications; health care system; chronic obstructive pulmonary disease ontology; context-aware applications; health care system; chronic obstructive pulmonary disease

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Ajami, H.; Mcheick, H. Ontology-Based Model to Support Ubiquitous Healthcare Systems for COPD Patients. Electronics 2018, 7, 371.

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