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

Li X, Wang L, Tang T, Chen Y, Yang L, Cai H, Wang C, Zhang S, Ding N, Liu K

DOI: 10.2196/93378
Published: 2026 Jul 31
Container: Journal of medical Internet research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2196/93378,
  title = {Accuracy of Machine Learning Algorithms Based on Electroencephalogram in Sleep Apnea Detection: Systematic Review and Meta-Analysis.},
  author = {Li X and Wang L and Tang T and Chen Y and Yang L and Cai H and Wang C and Zhang S and Ding N and Liu K},
  year = {2026},
  journal = {Journal of medical Internet research},
  doi = {10.2196/93378},
  url = {https://doi.org/10.2196/93378}
}

RIS

TY  - JOUR
TI  - Accuracy of Machine Learning Algorithms Based on Electroencephalogram in Sleep Apnea Detection: Systematic Review and Meta-Analysis.
AU  - Li X
AU  - Wang L
AU  - Tang T
AU  - Chen Y
AU  - Yang L
AU  - Cai H
AU  - Wang C
AU  - Zhang S
AU  - Ding N
AU  - Liu K
PY  - 2026
JO  - Journal of medical Internet research
DO  - 10.2196/93378
UR  - https://doi.org/10.2196/93378
ER  -

APA

X, L., L, W., T, T., Y, C., L, Y., H, C., C, W., S, Z., N, D., & K, L. (2026). Accuracy of Machine Learning Algorithms Based on Electroencephalogram in Sleep Apnea Detection: Systematic Review and Meta-Analysis.. Journal of medical Internet research. https://doi.org/10.2196/93378

Source records

pubmed · retrieved 2026-09-24T23:21:08.196Z