Interpretable machine learning for identifying mild cognitive impairment among Chinese patients with obstructive sleep apnea: a multicenter cross-sectional study.
- DOI
- 10.1186/s12888-026-08712-8
- Published
- 2026 Oct 11
- Container
- BMC psychiatry
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12888-026-08712-8,
title = {Interpretable machine learning for identifying mild cognitive impairment among Chinese patients with obstructive sleep apnea: a multicenter cross-sectional study.},
author = {Li E and Ai F and Cai P and Wen K and Guo B and Wen H},
year = {2026},
journal = {BMC psychiatry},
doi = {10.1186/s12888-026-08712-8},
url = {https://doi.org/10.1186/s12888-026-08712-8}
}RIS
TY - JOUR TI - Interpretable machine learning for identifying mild cognitive impairment among Chinese patients with obstructive sleep apnea: a multicenter cross-sectional study. AU - Li E AU - Ai F AU - Cai P AU - Wen K AU - Guo B AU - Wen H PY - 2026 JO - BMC psychiatry DO - 10.1186/s12888-026-08712-8 UR - https://doi.org/10.1186/s12888-026-08712-8 ER -
APA
E, L., F, A., P, C., K, W., B, G., & H, W. (2026). Interpretable machine learning for identifying mild cognitive impairment among Chinese patients with obstructive sleep apnea: a multicenter cross-sectional study.. BMC psychiatry. https://doi.org/10.1186/s12888-026-08712-8
Source records
- pubmed · retrieved 2026-11-10T14:33:41.362Z