Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression classification, leveraging computational techniques to address this issue. The proposed approach performs spectrogram a...

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Bibliographic Details
Main Authors: Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Mental disorders
depression
speech processing
artificial neural networks
machine learning
neural networks
Online Access:https://ieeexplore.ieee.org/document/11048471/
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