A Review of Autism Diagnosis/Screening Expert System and Mobile Application

Abstract

Autism is a neuro developmental disorder affecting individuals from Childhood mostly characterized by abnormal behavior, inadequate social interaction, lack of proper communication and repetitive behaviors. Before now, Autism was classified into 3 classes (Infertile Autism, Asperger's disorder and Pervasive Developmental Disorder not otherwise specified) as in the Diagnostic of Statistical Manual of Mental Disorders 4 (DSM 4) but in the year 2013 DSM 4 was upgraded to DSM 5 making all classes be in one class namely Autism Spectrum Disorder (ASD). In this paper, we did a literature review of some Autism Diagnosis Expert Systems and Mobile applications. From our research, we found out that most system/tools have adopted the DSM 5 criteria, most tools have either used the existing assessment tools or used Augmented reality for diagnosis. And also most of the expert system is mostly designed to diagnose children very few considered adult. None of the tools or expert system can give the level of Autism based on the DSM 5 diagnosis therefore there is need for tools to be developed for making such diagnosis.