Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/45721, first published
.
Journals
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- Du M, Li M, Yu X, Wang S, Wang Y, Yan W, Liu Q, Liu M, Liu J. Development and validation of prediction models for poor sleep quality among older adults in the post-COVID-19 pandemic era. Annals of Medicine 2023;55(2) View
- Hu B, Wu Q, Wang Y, Zhou H, Yin D. Factors associated with sleep disorders among university students in Jiangsu Province: a cross-sectional study. Frontiers in Psychiatry 2024;15 View
- Zhang L, Zhao S, Yang Z, Zheng H, Lei M. An Artificial Intelligence Platform to Stratify the Risk of Experiencing Sleep Disturbance in University Students After Analyzing Psychological Health, Lifestyle, and Sports: A Multicenter Externally Validated Study. Psychology Research and Behavior Management 2024;Volume 17:1057 View
- Zhou Z, Wang D, Sun J, Zhu M, Teng L. A Machine Learning–Based Prediction Model for the Probability of Fall Risk Among Chinese Community-Dwelling Older Adults. CIN: Computers, Informatics, Nursing 2024;42(12):913 View
- Chen Q, Chen Z, Zhu X, Zhuang J, Yao L, Zheng H, Li J, Xia T, Lin J, Huang J, Zeng Y, Fan C, Fan J, Song D, Zhang Y. Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance. DIGITAL HEALTH 2024;10 View