PUPIL DIAMETER AND MACHINE LEARNING FOR DEPRESSION DETECTION: A COMPARATIVE STUDY WITH DEEP LEARNING MODELS

According to the World Health Organization, the Global Mental Health Report estimated that between 251 and 310 million individuals worldwide experienced depression during the first year of the COVID-19 pandemic. Most methods for detecting depression rely on clinical diagnoses and surveys. However,...

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Bibliographic Details
Main Authors: Islam MOHAMED, Mohamed EL-WAKAD, Khaled ABBAS, Mohamed ABOAMER, Nader A. Rahman MOHAMED
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2024-12-01
Series:Applied Computer Science
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Online Access:https://ph.pollub.pl/index.php/acs/article/view/6628
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