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Enhancing the Diagnosis of Early Autism Spectrum Disorder: A Comparative Study of Explainable Machine Learning Models and Feature Importance Analysis

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental condition that affects millions of individuals globally. This study leverages the publicly available UCI Machine Learning ASD Screening Dataset, which contains behavioral questionnaire responses from children aged 4-11 years, to dev...

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Príomhchruthaitheoirí: Rashid Ayub, Mohammad Afzal, Syed Immamul Ansarullah
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: King Salman Center for Disability Research 2025-10-01
Sraith:Journal of Disability Research
Rochtain ar líne:https://www.scienceopen.com/hosted-document?doi=10.57197/JDR-2025-0662
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