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Ontology-based model to support ubiquitous healthcare systems for COPD patients

Ajami Hicham et Mcheick Hamid. (2018). Ontology-based model to support ubiquitous healthcare systems for COPD patients. Electronics, 7, (12), p. 371.

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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.

Type de document:Article publié dans une revue avec comité d'évaluation
Pages:p. 371
Version évaluée par les pairs:Oui
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Sciences de la santé
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique > Module d'informatique et de mathématique
Mots-clés:ontology, context-aware applications, health care system, chronic obstructive pulmonary disease
Déposé le:16 avr. 2019 23:46
Dernière modification:16 avr. 2019 23:46
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