Predicting autism spectrum disorder in infants using machine learning

Abstract

Machine Learning techniques have played an important role in identifying patterns, grouping similar objects together and modelling data. These techniques learn from the given data and are capable of making prediction of outcomes for new datasets. In applications where the data is too large and cannot be manually analysed, applying machine learning techniques has helped in automation of many process. This has but, not been done often and hardly ever been done for ASD and developing a decision support system that helps physicians with the detection of ASD, has scarcely been done, that is tried by the shortage of literature on the utilization of it.