Machine Learning Based Approach for Context Aware System - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Machine Learning Based Approach for Context Aware System

Résumé

Machine learning approaches propose a promising solution for extracting and analyzing contextual information from different data sources. Especially, in the E-health field, the need for Improvement in risk prediction, early detection and prevention of disease remains an essential task for the well-being of patients at risk. In this paper, we aim to explore the added value of using machine learning based approach to predict contextual situations in context-aware systems, and more specifically the field of E-health.
Fichier non déposé

Dates et versions

hal-04182588 , version 1 (17-08-2023)

Identifiants

Citer

Zakaria Afkir, Hatim Guermah, Mahmoud Nassar, Sophie Ebersold. Machine Learning Based Approach for Context Aware System. 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2019), IEEE, Jun 2019, Napoli, Italy. pp.43-48, ⟨10.1109/WETICE.2019.00017⟩. ⟨hal-04182588⟩
14 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More