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Peer-reviewedCC BYFrontiers in human neuroscience

An explainable machine learning model based on multidimensional task-state electroencephalography for identifying attention-deficit/hyperactivity disorder comorbid developmental dyslexia

  • Keduo Huang1
  • Pengxiang Zuo1
  • Xuemei Luo2
  • Chun Ji1
  • Fang Yang2
  • Yuhao Huang2
  • Xiaole Wang1
  1. 1Department of Nursing, School of Medicine, Shihezi University , ,
  2. 2Department of Child Health Care, The Second Xiangya Hospital of Central South University , ,
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Cite

BibTeXRIS
BibTeX
@article{huang2026explainable,
  title = {{An explainable machine learning model based on multidimensional task-state electroencephalography for identifying attention-deficit/hyperactivity disorder comorbid developmental dyslexia}},
  author = {Keduo Huang and Pengxiang Zuo and Xuemei Luo and Chun Ji and Fang Yang and Yuhao Huang and Xiaole Wang},
  journal = {Frontiers in human neuroscience},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13672606},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - An explainable machine learning model based on multidimensional task-state electroencephalography for identifying attention-deficit/hyperactivity disorder comorbid developmental dyslexia
AU  - Keduo Huang
AU  - Pengxiang Zuo
AU  - Xuemei Luo
AU  - Chun Ji
AU  - Fang Yang
AU  - Yuhao Huang
AU  - Xiaole Wang
PY  - 2026
DA  - 2026/10/19
JO  - Frontiers in human neuroscience
UR  - https://europepmc.org/article/PMC/PMC13672606
SN  - 1662-5161
ER  -