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Personalized Healthcare System Based on Ontologies

  • Chaymae BenfaresEmail author
  • Younès El Bouzekri El Idrissi
  • Karim Hamid
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 914)

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.

Keywords

Healthcare Ontology Service Personalization Depression Recommender systems 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Chaymae Benfares
    • 1
    Email author
  • Younès El Bouzekri El Idrissi
    • 1
  • Karim Hamid
    • 2
  1. 1.Department of Systems Engineering Laboratory, ENSAIbn Tofail UniversityKenitraMorocco
  2. 2.Center for Oncology and HematologyUniversity Hospital Center of Mohammed VI MarrakechMarrakechMorocco

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