Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model

Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model

Abstract Background In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementation of strict lockdown management measures in colleges. While existing research has indicated that the pandemic has had a significant impact on sleep quality, the specific effects of containm...

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Bibliographic Details
Main Authors: Lufeng Chen, Qingquan Chen, Zhimin Huang, Ling Yao, Jiajing Zhuang, Haibin Lu, Yifu Zeng, Jimin Fan, Ailing Song, Yixiang Zhang
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Public Health
Subjects:
Sleep quality
Machine learning
LASSO regression
COVID-19
College students
Online Access:https://doi.org/10.1186/s12889-025-21746-z
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https://doi.org/10.1186/s12889-025-21746-z

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