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Open access
Aug 2026
A Clinical Computing Framework for Early Autism Diagnosis Using Hybrid ML and Explainable AI
The above findings illustrate the reliability and effectiveness of parallel-sequential hybrid ensemble models for the early diagnosis of ASD, ensuring clinical utility in both resource-constrained and resource-advantaged settings.
Luc-Orlane Jocelyne Houefa Padonou, Jin Hou
· Artificial Intelligence and... · 0 citations