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

Bibliographic Data

ID15517191
AuthorsYifei Lin (0000-0002-3184-9213, Fujian Medical University), Qingquan Chen (0000-0001-9254-5849, Fujian Medical University), Zeshun Chen (Fujian Medical University), Sufang Qiu (0000-0001-7660-6955, Fujian Medical University), Shengxun Qiu, Liangming Wang (0000-0003-3747-4923, Fujian Medical University, corresponding author)
Year2025
Volume16
Pages1533875-1533875
Publication date2025-06-06
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2025.1533875
PMID40547121
OpenAlexW4411107274
LanguageEN
References cited31

Non-medical students faced more factors affecting their sleep quality. The validated prediction models provide accurate estimations of sleep disorders in college students, offering valuable insights for campus management

Cognition · Medical education · Psychiatry · Public health · Quality (philosophy · Sleep quality · Applied Psychology · Heart Rate Variability and Autonomic Control · Medicine · Nursing · Psychology · Sleep and related disorders · Sleep and Work-Related Fatigue

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