Evaluation of sleep quality and influencing factors among medical and non-medical students using machine learning techniques in Fujian during the public health emergencies

Evaluation of sleep quality and influencing factors among medical and non-medical students using machine learning techniques in Fujian during the public health emergencies

BackgroundThe COVID-19 pandemic has significantly affected the sleep quality of medical and non-medical students, yet the influencing factors remain unclear. Objective: This study aimed to assess sleep quality of 20,645 full-time undergraduate and graduate students aged between 17–35 years old in Fu...

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Bibliographic Details
Main Authors: Yifei Lin, Qingquan Chen, Zeshun Chen, Shengxun Qiu, Liangming Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Psychiatry
Subjects:
medical students
non-medical students
COVID-19
sleep quality
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1533875/full
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https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1533875/full

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