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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

A review on predictive model for Autisim spectrum disorder

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  • A review on predictive model for Autisim spectrum disorder

Divya Chilukuri *, Akhila Tejaswini. K, Prathyusha. K and Anjali. N

Department Of Computer Science &Engineering-Artificial Intelligence &Internet of Things, VNR Vignana Jyothi Institute of Technology, Hyderabad, India.

Review Article
 
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(01), 218–221.
Article DOI: 10.30574/wjaets.2024.12.1.0204
DOI url: https://doi.org/10.30574/wjaets.2024.12.1.0204

Received on 20 April 2024 revised on 28 May 2024; accepted on 30 May 2024

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.

ASD; ML; Random Forest-CART; ID3

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2024-0204.pdf

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Divya Chilukuri, Akhila Tejaswini. K, Prathyusha. K and Anjali. N. A review on predictive model for Autisim spectrum disorder. World Journal of Advanced Engineering Technology and Sciences, 2024, 12(01), 218–221. Article DOI: https://doi.org/10.30574/wjaets.2024.12.1.0204

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