International Journal on Science and Technology

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Volume 16 Issue 2
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A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

Author(s) A.T.Ligin
Country India
Abstract This research paper discusses a machine learning framework for early detection of Autism Spectrum Disorder (ASD) across different age groups. Using four feature scaling methods and eight classifiers, AdaBoost and LDA achieved the highest accuracies on toddler, child, adolescent, and adult datasets. Feature selection techniques identified key ASD risk factors. Results show that well-tuned, simple ML models can effectively support ASD diagnosis.
Keywords It's made purpose is used to detect the early stage of Autism Spectrum Disorders
Field Arts
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-06-05
DOI https://doi.org/10.71097/IJSAT.v16.i2.5969
Short DOI https://doi.org/g9pz7b
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