Abstract
Context-aware systems are used to aid users in their daily lives. In the recent years, researchers are exploring how context aware systems can benefit humanity through assist patients, specifically those who suffer incurable diseases, to cope with their illness. In this paper, we direct our work to help people who suffer from Parkinson disease. We propose PHEN, Parkinson Helper Engine Network System, a context-aware system that aims to support Parkinson disease patients on m any levels. We use ontology is for context representation and modeling. Then the ontology based context model is used to learn with Bayesian Belief network (BBN) which is beneficial in handling the uncertainty aspect of context-aware systems.
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Mcheick, H., Khreiss, M., Sweidan, H., Zaarour, I. (2015). PHEN: Parkinson Helper Emergency Notification System Using Bayesian Belief Network. In: Benyoucef, M., Weiss, M., Mili, H. (eds) E-Technologies. MCETECH 2015. Lecture Notes in Business Information Processing, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-17957-5_14
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DOI: https://doi.org/10.1007/978-3-319-17957-5_14
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