Machine Learning Based Early Diagnosis of ADHD with SHAP Value Interpretation: A Retrospective Observational Study.

Journal: Neuropsychiatric disease and treatment
Published Date: May 21, 2025

Abstract

BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by inattention, hyperactivity, and impulsivity. Current diagnostic methods for ADHD rely primarily on behavioral assessments, which can be challenging due to symptom overlap with other psychiatric disorders and significant inter-individual variability. Developing potential early diagnostic methods for ADHD is imperative to mitigate the risk of misdiagnosis and enhance the evaluation of treatment efficacy.

Authors

  • Xinyu Zhang
    Wenzhou Medical University Renji College, Wenzhou, Zhejiang, China.
  • Xue Xiao
    Guangdong Provincial Key Laboratory of Chemical Measurement and Emergency Test Technology, Guangdong Provincial Engineering Research Center for Ambient Mass Spectrometry, Institute of Analysis, Guangdong Academy of Sciences (China National Analytical Center, Guangzhou), Guangzhou, 510070, China.
  • Yufan Luo
    Division of Systems Engineering, Boston University, Boston, MA 02215, USA. Electronic address: luoyuf@bu.edu.
  • Wei Xiao
    Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhenjiang Province, China.
  • Yingsi Cao
    Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
  • Yuanjin Chang
    Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
  • Dongqin Wu
    Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
  • Hua Xu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jinlin Zhao
    Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
  • Xianhui Deng
    Department of Neonatology, Jiangyin People's Hospital of Nantong University, Wuxi, China.
  • Yuanying Jiang
    Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
  • Ruijin Xie
    Yangzhou Polytechnic College, Yangzhou, China.
  • Yueying Liu
    Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, China.

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