Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan
This project aims to develop a web-based application utilizing the Random Forest Classification Algorithm to aid concerned parents in detecting potential Autism Spectrum Disorder (ASD) symptoms in their children aged 1-6 years in Malaysia. The application considers various factors, including childre...
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Format: | Thesis |
Language: | English |
Published: |
2023
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Online Access: | https://ir.uitm.edu.my/id/eprint/89039/1/89039.pdf |
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