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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Bibliographic Details

Main Author:	Shahron Nizan, Muhammad Shahmi
Format:	Thesis
Language:	en
Published:	2023
Subjects:	Medical technology
Online Access:	https://ir.uitm.edu.my/id/eprint/89039/1/89039.pdf https://ir.uitm.edu.my/id/eprint/89039/
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