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

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.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychiatry
Published
2025-06-06
DOI
https://doi.org/10.3389/fpsyt.2025.1533875
Citations
1
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
2.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yifei Lin, Sufang Qiu, Qingquan Chen, Liangming Wang et al.
1 citations
Frontiers in Psychiatry
Sleep and related disorders
2.12
article

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

Yifei Lin, Sufang Qiu, Qingquan Chen, Liangming Wang, Zeshun Chen
article en
1 citations

Abstract

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.

Frontiers in PsychiatryVol. 16
Fujian Medical University (CN), Second Affiliated Hospital of Fujian Medical University (CN)
Openalex Percentile: Top 14%
Sleep and related disorders
2.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.