Please use this identifier to cite or link to this item: http://dspace.univ-temouchent.edu.dz/handle/123456789/2182
Title: AUTOMATISATION DU DIAGNOSTIC DE LA DEPRESSION PAR LES METHODES DE L’INTELLIGENCE ARTIFICIELLE
Authors: MOULEBHAR, Samia
BENDIMERAD.M, BENDIMERAD.M
TAYBI, NAIMA
YAHLA, YAHLA
Keywords: Depression, Diagnostic Automation, Beck, Resilience, RNA, SIF, MRI v
Dépression, automatisation de diagnostic, Beck, Résilience, RNA, SIF, IRM
Issue Date: 2022
Abstract: Depression is a psychological illness that occurs in many people at different ages. As part of our work, we proposed two intelligent methods based on AI to automatically diagnose depression where we automated two international tests (Beck, resilience test) and global diagnosis by artificial neural network We also performed neural classifieds of MRI images for the detection of depression. Then we used fuzzy inference systems to conclude the difference in severity of patients in the same class Finally, we programmed interfaces summarizing our proposed diagnosis The results obtained are satisfactory and demonstrate the effectiveness of our methods
URI: http://dspace.univ-temouchent.edu.dz/handle/123456789/2182
Appears in Collections:Electronique

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