Abstract
Depression and anxiety disorders are common mental health issues that affect our ability to work and our productivity. In this paper, we propose an architecture of a surveillance system, that provides personalized and intelligent services to medical teams that monitor the psychic state of the patient, in the field of mental health, using knowledge of health services and an interactive context of patients between doctors and mental health professionals, we base on an automatic and homogeneous evaluation of the patient’s needs in terms of prevention and detection of depressive tendencies. We use ontologies and recommender systems to provide patients with a climate of well-being and ubiquitous follow-up. Our case study is the prevention and screening of depression and anxiety disorders in cancer patients, the unit of psychology, at the center of ontology and hematology of the University Hospital Center “CHU” of Marrakech.
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Benfares, C., Idrissi, Y.E.B.E., Hamid, K. (2019). Personalized Healthcare System Based on Ontologies. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 914. Springer, Cham. https://doi.org/10.1007/978-3-030-11884-6_18
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DOI: https://doi.org/10.1007/978-3-030-11884-6_18
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