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#reinforcement learning Review Open access Sep 2026

Young minds in distress: Exploring the global rise in youth mental health diagnoses.

This review synthesizes global epidemiological trends, differentiates true increases in morbidity from diagnostic inflation, and integrates evidence-based intervention strategies, suggesting a three-tiered intervention framework.

H. Chiang, Yi-Ling Chien, S. S. Gau · 0 citations
Jul 2026

Enhancing the Effectiveness of Attention-Deficit/Hyperactivity Disorder Screening Using the SNAP-IV: A Deep Learning Approach.

A multi-algorithm machine-learning framework was applied to refine the 18 core ADHD items of the SNAP-IV by identifying the most predictive items through cross-model consensus ranking while preserving balanced symptom construct representation.

Chung-Yuan Cheng, H. Chiang, C. Shang et al. · 0 citations

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