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Graph neural networks improve ADHD identification in children compared to traditional methods, suggesting better diagnostic tools.
Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder requiring early, accurate diagnosis for timely intervention. We evaluated GraphSAGE, a Graph Neural Network, against XGBoost using data from 42,041 children in the 2022 National Survey of Children's Health. GraphSAGE outperformed XGBoost (F1 score: 0.8331 vs. 0.8241).
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Yu et al. (2025) studied this question.
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