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| Titre: | Intelligent Classification of Psychological Disorders: Decision Support System for Psychologists validated in the office of Dr. Mohamed Arres |
| Auteur(s): | Serrai, Sohaib
Zitouni, Mohamed |
| Mots-clés: | Intelligent Decision Support System
Psychological Disorders
DSM- 5
Mental Health Diagnosis
Data Augmentation
Machine Learning |
| Date de publication: | 2025 |
| Résumé: | This thesis presents an intelligent decision support system for the classification of psychological
disorders, with the aim of improving diagnostic accuracy for psychologists.
The study is based on a dataset specifically created according to the criteria of the
Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Data augmentation
techniques were applied to address class imbalance, and several traditional machine
learning algorithms (SVM, Logistic regression, etc), as well as deep learning techniques
(MLP), were employed. As a result, a set of artificial intelligence models capable of
effectively classifying psychological disorders was developed. |
| URI/URL: | http://dspace.univ-setif.dz:8888/jspui/handle/123456789/5494 |
| Collection(s) : | Mémoires de master
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