Autism detection and subgrouping using machine learning algorithms

Abstract

This paper is about the detection of the disorder and to determine whether they belong to the Autism Spectrum Disorder or not. The detection process was performed using the datasets collected from resources and for the sub-grouping of the disorders, distinguishable symptoms of both behavioral and physical are collected. The results obtained determine disorder and conclude whether it comes belongs to the spectrum of ASD or not and the available treatments.