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Multi-Criteria Decision Making Semantic for Mental Healthcare

Multi-Criteria Decision Making Semantic for Mental Healthcare

Chaymae Benfares, Ouidad Akhrif, Younès El Bouzekri El Idrissi, Karim Hamid
Copyright: © 2020 |Volume: 7 |Issue: 1 |Pages: 14
EISBN13: 9781522568223|ISSN: 2640-4079|EISSN: 2640-4087|DOI: 10.4018/IJSST.2020010105
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MLA

Benfares, Chaymae, et al. "Multi-Criteria Decision Making Semantic for Mental Healthcare." IJSST vol.7, no.1 2020: pp.58-71. http://doi.org/10.4018/IJSST.2020010105

APA

Benfares, C., Akhrif, O., El Bouzekri El Idrissi, Y., & Hamid, K. (2020). Multi-Criteria Decision Making Semantic for Mental Healthcare. International Journal of Smart Security Technologies (IJSST), 7(1), 58-71. http://doi.org/10.4018/IJSST.2020010105

Chicago

Benfares, Chaymae, et al. "Multi-Criteria Decision Making Semantic for Mental Healthcare," International Journal of Smart Security Technologies (IJSST) 7, no.1: 58-71. http://doi.org/10.4018/IJSST.2020010105

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Abstract

Healthcare systems play an important role in the well-being of patients; however, the diagnostic process generates a very large and varied types of data which makes the process of analyzing this data very complicated. More precisely, depression, which is one of the most common psychological disorders, contains a taxonomy of different symptoms, heterogeneous, and varied by data criteria, as confronted by clinicians to predict the degree of the disorder in patients with the aim of selecting the best treatment. To this end, the authors propose a decision architecture based on an approach that combines method ontologies, the Analytic Hierarchy Process, in the context of the prevention and monitoring of depression trends in patients.