Autism Spectrum Disorder Prediction Using Machine Learning | Chapter 14 | Leading the Charge: A Guide to Management, Entrepreneurship and Technology in the Dynamic Business Landscape Edition 1

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by challenges in social interaction, communication, and restricted repetitive behaviors. Early diagnosis and intervention significantly improve outcomes for individuals with ASD. In this paper, we propose a machine learning approach using an Artificial Neural Network (ANN) classifier to predict ASD based on a set of relevant features extracted from clinical assessments and behavioral observations. The ANN model is trained on a large dataset of individuals with and without ASD, incorporating features such as demographic information, medical history, and behavioral characteristics. Moreover, its web-based deployment ensures broader accessibility, facilitating early interventions and support. These advanced models can identify subtle patterns that may not be detectable through traditional clinical assessments alone.

 

Author (s) Details

 

Umesh R
Department of Information Technology, Velammal College of Engineering and Technology, Madurai, India.

 

Shanjay S
Department of Information Technology, Velammal College of Engineering and Technology, Madurai, India.

 

Sathish Kumar K S
Department of Information Technology, Velammal College of Engineering and Technology, Madurai, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-48859-98-3/CH14