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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (916) Machine Learning (1742) Natural Language Processing (803) Artificial Intelligence (1748) Sleep Monitoring, Sleep Quality, Sleep Disorders (229)

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
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RT @jmirpub: New in JMIR: Prediction Models for Sleep Quality Among College Students During the #COVID19 #coronavirus Outbreak: Cross-secti…

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Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Base… https://t.co/Zvo8U3TEHF

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Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Base… https://t.co/Ma2hLGeMF1

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Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Base… https://t.co/aZsSdehHpH

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Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Base… https://t.co/WHqhAlgbfO

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