Fuzzy Based Integrated Diagnostic System for Neurodevelopmental Disorders

Abstract

Preliminary studies have discussed numerous diagnostic techniques for detection of Neurodevelopmental disorders (Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder, Learning Disabilities, Intellectual Disabilities etc). The fuzzy based-systems have also been proposed considering the heterogeneous nature of the disorders. But, these techniques are detecting the disorders individually and lack in detecting their co-morbidities. The present paper has considered the co-morbid factors along with the disorders ASD, ADHD and ID in individuals. The most distinguishing symptoms of these disorders are categorized into most affected areas such as social, emotional, behavioral and conceptual domains and fed to the Fuzzy Rule Based (FRB) system. This expert system has distinguished these disorders as well as their co-morbidities on a single platform. Hence, the present paper has provided an integrated approach to diagnose the co-morbidities and extremities leading to the variations in disorders.