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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/89039/1/89039.pdf https://ir.uitm.edu.my/id/eprint/89039/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|