Web Tool based on Machine Learning for the Early Diagnosis of ASD through the Analysis of the Subject's Gaze

Abstract

Early autism spectrum disorder diagnosis is key to help children and their families sooner and thus, avoiding the high social and economic costs that would be produced other way. The aim of the project is to create a web application available in every health centre that could potentially be used as a previous step in early ASD diagnosis. It would be a fast way of diagnosing, spending almost no resources as it is web based. The system uses machine learning techniques to generate the diagnosis through the analysis of the data obtained from the eye tracker, and every time an evaluation is confirmed, it will be added to the training data set improving the