Novel insight into prediction model for sleep quality among college students: a LASSO-derived sleep evaluation
This study developed a prediction model for sleep disturbance among college students using a LASSO regression and ANN, incorporating eight predictors. The model can serve as an intuitive and practical tool for predicting sleep quality and supporting effective management and healthcare on college campuses.
Authors
- Danna Wang
- Zhihua Zheng (ORCID: https://orcid.org/0000-0003-1025-5384)
- Dingquan Chen
- Ling Yao (ORCID: https://orcid.org/0000-0003-1086-5641)
- Kang Yang (ORCID: https://orcid.org/0009-0004-0850-7882)
- Yuxing Xia (ORCID: https://orcid.org/0000-0003-2984-3020)
- Qingquan Chen (ORCID: https://orcid.org/0000-0003-2317-4583)
- Lufeng Chen (ORCID: https://orcid.org/0000-0002-0854-3144)
- Zhihan Chen (ORCID: https://orcid.org/0000-0001-5702-2508)
Institutions
- Fujian Medical University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-04-25
- DOI
- https://doi.org/10.3389/fpsyt.2025.1585732
- Citations
- 2
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 4.24