jcom.5.1.13795 A Review on using Artificial Neural Network in Diagnosis of Autism Spectrum Disorder Lakhwinder Kaur Vikas Khullar Journal on Computer Science 2347–6141 5 1 38 45 10.26634/jcom.5.1.13795 Autism, Artificial Neural Network, Fuzzy Expert System, DSMs This paper discusses the concept of autism, its signs and symptoms, diagnosis and various technologies being used for diagnosis and treatment of autistic children. Autism is qualitative impairments in social interaction, communication and repetitive patterns of behavior. Autistic children can be treated as non communicative, non interactive and non responsive. The term autism was firstly used by Bleuler in 1908 to describe any patient and firstly described by Leo kanner in 1943. Autistic children suffer from mild, moderate, and severe levels of autistic behaviour. Mild level autistic children have few abnormal actitivites. Moderate level autistic children have moderate abnormal activities. Severe level autistic children have high abnormal functional activities. Autistic children symptoms can be easily seen within age of 18 to 30 months. Various methods of artificial intelligence are used for the diagnosis of activities or levels of autistic children by using various CHATS like CARS, ADI, ADOS, and DSMs. Various artificial neural network and fuzzy based system are used for detecting the severity levels of autism. By using the artificial neural networks and fuzzy system we can diagnose a child whether he is autistic or not. March - May 2017 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13795