Acoustic-based machine learning approaches for depression detection in Chinese university students

Acoustic-based machine learning approaches for depression detection in Chinese university students

BackgroundDepression is major global public health problems among university students. Currently, the evaluation and monitoring of depression predominantly depend on subjective and self-reported methods. There is an urgent necessity to develop objective means of identifying depression. Acoustic feat...

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Bibliographic Details
Main Authors: Yange Wei, Shisen Qin, Fengyi Liu, Rongxun Liu, Yunze Zhou, Yuanle Chen, Xingliang Xiong, Wei Zheng, Guangjun Ji, Yong Meng, Fei Wang, Ruiling Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Public Health
Subjects:
depression
acoustic features
machine learning
Chinese university students
campuses
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1561332/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1561332/full

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