Machine Learning for Autistic Spectrum Disorder Risk Screening

Abstract

In the modern world of rapidly increasing autistic spectrum disorder case rates, medical costs, societal impact, and long-waiting times from initial screening, there is a need for an easy, early screening of autistic spectrum disorder risk in children. In this paper, a mobile application was developed with these requirements, using machine learning algorithms achieving high performance compared to other applications that use simple rule approaches. A recently published autistic spectrum disorder dataset is used to train the model, containing hundreds of screening data from children in the ages 4 to 11.

Keywords: Application; Autistic Spectrum Disorder; Machine learning; Screening.