Explainable machine learning for Alzheimer's disease characterization using small-sample EEG data

Lang Shen, Wei Tong, Ye Zhao, Bicheng Wu, Peng Zhang, Jing Kan

Open source

DOI: 10.3389/fnagi.2026.1900857
Published: 2026-09-07
Container: Frontiers in Aging Neuroscience
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fnagi.2026.1900857,
  title = {Explainable machine learning for Alzheimer's disease characterization using small-sample EEG data},
  author = {Lang Shen and Wei Tong and Ye Zhao and Bicheng Wu and Peng Zhang and Jing Kan},
  year = {2026},
  journal = {Frontiers in Aging Neuroscience},
  doi = {10.3389/fnagi.2026.1900857},
  url = {https://doi.org/10.3389/fnagi.2026.1900857}
}

RIS

TY  - JOUR
TI  - Explainable machine learning for Alzheimer's disease characterization using small-sample EEG data
AU  - Lang Shen
AU  - Wei Tong
AU  - Ye Zhao
AU  - Bicheng Wu
AU  - Peng Zhang
AU  - Jing Kan
PY  - 2026
JO  - Frontiers in Aging Neuroscience
DO  - 10.3389/fnagi.2026.1900857
UR  - https://doi.org/10.3389/fnagi.2026.1900857
ER  -

APA

Shen, L., Tong, W., Zhao, Y., Wu, B., Zhang, P., & Kan, J. (2026). Explainable machine learning for Alzheimer's disease characterization using small-sample EEG data. Frontiers in Aging Neuroscience. https://doi.org/10.3389/fnagi.2026.1900857

Source records

crossref · retrieved 2026-09-25T10:56:35.549Z