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

Digital Health Reviews (3571) Decision Support for Health Professionals (2170) Insomnia and Sleep Hygiene (307) Biomedical Engineering Articles (81) Machine Learning (3105) Artificial Intelligence (4625)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93378, first published .
Woman sleeping with CPAP mask for sleep apnea treatment

Accuracy of Machine Learning Algorithms Based on Electroencephalogram in Sleep Apnea Detection: Systematic Review and Meta-Analysis

Accuracy of Machine Learning Algorithms Based on Electroencephalogram in Sleep Apnea Detection: Systematic Review and Meta-Analysis

Authors of this article:

Xiangshuo Li1 Author Orcid Image ;   Lulu Wang1 Author Orcid Image ;   Ting Tang2 Author Orcid Image ;   Yuanyuan Chen2 Author Orcid Image ;   Lan Yang1 Author Orcid Image ;   Hao Cai1 Author Orcid Image ;   Chen Wang1 Author Orcid Image ;   Shuxiao Zhang1 Author Orcid Image ;   Ning Ding1 Author Orcid Image ;   Kouying Liu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xiangshuo Li   1 , MSN ;   Lulu Wang   1 , MSN ;   Ting Tang   2 , MSN ;   Yuanyuan Chen   2 , MSN ;   Lan Yang   1 , MSN ;   Hao Cai   1 , MSN ;   Chen Wang   1 , MSN ;   Shuxiao Zhang   1 , MSN ;   Ning Ding   1 , MD ;   Kouying Liu   1 , PhD

1 School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, China

2 Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital, Nanjing, Jiangsu, China

Corresponding Author:

  • Kouying Liu, PhD
  • School of Nursing, Nanjing Medical University
  • 101 Longmian Avenue, Jiangning District
  • Nanjing, Jiangsu 211166
  • China
  • Phone: 86 13851646546
  • Email: liuky188@126.com