Mcheick Hamid, Sayegh John et Ajami Hicham. (2020). Context-aware healthcare adaptation model for COPD diseases. Dans : ICOST 2020: The Impact of Digital Technologies on Public Health in Developed and Developing Countries , June 24–26, 2020, Hammamet, Tunisia.
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Résumé
Nowadays, ubiquitous computing and mobile applications are controlling all our life’s aspects, from social media and entertainment to the very basic needs like commerce, learning, government, and health. These systems have the ability to self-adapt to meet changes in their execution environment and the user’s context. In the healthcare domain, information systems have proven their efficiency, not only by organizing and managing patients’ data and information but also by helping doctors and medical experts in diagnosing disease and taking precluding procedure to avoid serious conditions. In chronic diseases, telemonitoring systems provide a way to monitor the patient’s state and biomarkers within their usual life’s routine. In this article, we are combining the healthcare telemonitoring systems with the context awareness and self-adaptation paradigm to provide a self-adaptive framework architecture for COPD patients.
Type de document: | Matériel de conférence (Non spécifié) |
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Date: | 23 Juin 2020 |
Sujets: | Sciences naturelles et génie > Sciences mathématiques Sciences naturelles et génie > Sciences mathématiques > Informatique |
Département, module, service et unité de recherche: | Départements et modules > Département d'informatique et de mathématique > Module d'informatique et de mathématique |
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Mots-clés: | Software architecture, self-adaptation, context-aware system, COPD, healthcare systems, architecture logicielle, auto-adaptation, système sensible au contexte, systèmes de santé |
Déposé le: | 30 sept. 2020 22:41 |
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Dernière modification: | 30 sept. 2020 22:41 |
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