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Review 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 · 0 citations

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