Utilizing machine learning techniques to identify severe sleep disturbances in Chinese adolescents: an analysis of lifestyle, physical activity, and psychological factors

Utilizing machine learning techniques to identify severe sleep disturbances in Chinese adolescents: an analysis of lifestyle, physical activity, and psychological factors

BackgroundAdolescents often experience difficulties with sleep quality. The existing literature on predicting severe sleep disturbance is limited, primarily due to the absence of reliable tools.MethodsThis study analyzed 1966 university students. All participants were classified into a training set...

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Bibliographic Details
Main Authors: Lirong Zhang, Shaocong Zhao, Wei Yang, Zhongbing Yang, Zhi’an Wu, Hua Zheng, Mingxing Lei
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Psychiatry
Subjects:
sleep disturbance
adolescents
machine learning
epidemiology
prediction model
Pittsburgh sleep quality index
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1447281/full
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https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1447281/full

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