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This is a Quantitative Study study.

September 21, 2025Open Access

Autism spectrum Disorder Recognition with AI-Powered models

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Machine learning algorithms improve early diagnosis of autism spectrum disorder, highlighting potential healthcare applications.

Machine learning algorithms achieve high accuracy in detecting autism spectrum disorder, enhancing early diagnosis.
Support vector machine, random forest, and decision tree algorithms demonstrate significant predictive capabilities in analysis.
The study utilizes a publicly available dataset, indicating the model's potential for real-world applications in healthcare.
Early detection of autism spectrum disorder can improve quality of life for affected individuals, emphasizing its importance.

KAVYA et al. (2025) studied this question.

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