Machine Learning Based Approach for Context Aware System

Abstract

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.