This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (792) Machine Learning (1401) Natural Language Processing (650) Artificial Intelligence (1216) Sleep Monitoring, Sleep Quality, Sleep Disorders (170)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45721, first published .
Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Based on the Internet New Media

Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Based on the Internet New Media

Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Based on the Internet New Media

Authors of this article:

Wanyu Zheng1 Author Orcid Image ;   Qingquan Chen2, 3 Author Orcid Image ;   Ling Yao4 Author Orcid Image ;   Jiajing Zhuang4 Author Orcid Image ;   Jiewei Huang3 Author Orcid Image ;   Yiming Hu2 Author Orcid Image ;   Shaoyang Yu1 Author Orcid Image ;   Tebin Chen1 Author Orcid Image ;   Nan Wei4 Author Orcid Image ;   Yifu Zeng5 Author Orcid Image ;   Yixiang Zhang1 Author Orcid Image ;   Chunmei Fan1 Author Orcid Image ;   Youjuan Wang1 Author Orcid Image
Article Authors Cited by (5) Tweetations (6) Metrics

Journals

  1. Jaisinghani D, Phutela N. Packets-to-Prediction: An Unobtrusive Mechanism for Identifying Coarse-Grained Sleep Patterns with WiFi MAC Layer Traffic. Sensors 2023;23(14):6631 View
  2. Ji W, Shi L, Lin X, Shen Z, Chen Q, Song D, Huang P, Zhao Z, Fan J, Hu Y, Xie M, Yang J, Chen X. The relationship between sleep quality and daytime dysfunction among college students in China during COVID-19: a cross-sectional study. Frontiers in Public Health 2023;11 View
  3. 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
  4. 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
  5. 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