A review on predictive model for Autisim spectrum disorder
Department Of Computer Science &Engineering-Artificial Intelligence &Internet of Things, VNR Vignana Jyothi Institute of Technology, Hyderabad, India.
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(01), 218–221.
Article DOI: 10.30574/wjaets.2024.12.1.0204
Publication history:
Received on 20 April 2024 revised on 28 May 2024; accepted on 30 May 2024
Abstract:
In present day Autism Spectrum Disorder (ASD) is becoming more often, but testing for it is expensive and slow. However, with the help of machine learning (ML) algorithms, we can predict autism in the early stages. So far different Machine Learning algorithms are used to predict Autism in early stages but those are not for both adults and children. So, there is a new prediction model using machine learning by creating a mobile app for predicting autism in people of any age. This model combines two algorithms, Random Forest-CART and Random Forest-ID3, to improve accuracy.
Keywords:
ASD; ML; Random Forest-CART; ID3
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0