Review
Open access
Sep 2026
Interpretable machine learning for predicting moderate-to-severe insomnia risk in Chinese adults with autism spectrum disorder
Objective To develop a risk prediction model for moderate-to-severe insomnia among adults with autism spectrum disorder (ASD) and to identify key predictive features using interpretable machine learning methods, to support exploratory risk estimation and stratification. Methods This study used data from the 2024 Psycho...
Zhen-Hao Lin, Yuwen Shangguan, Young-Je Sim et al.
· Frontiers in Psychiatry · 0 citations