A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI

<p dir="ltr">Autism Spectrum Disorder (ASD) is a genetic and neurological condition that leads to difficulties in communication and social interaction. The global concern associated with ASD diagnosis is increasing at a rapid rate due to its significant impact on quality of life. Ear...

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Bibliographic Details
Main Author:	Oishi Jyoti (21593819) (author)
Other Authors:	Hafsa Binte Kibria (22828085) (author), Zareen Tasnim Pear (22828088) (author), Md Nahiduzzaman (9092546) (author), Md. Faysal Ahamed (21842396) (author), Khandaker Reajul Islam (16904832) (author), Jaya Kumar (13896771) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published:	2025
Subjects:	Engineering Biomedical engineering Health sciences Health services and systems Information and computing sciences Machine learning Autism spectrum disorder (ASD) artificial intelligence (AI) machine learning (ML) explainable AI Accuracy Predictive models Autism Explainable AI Support vector machines Random forests Machine learning algorithms Diseases Reliability
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI

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