An Artificial Intelligence Approach for Biomarker-Based Diagnosis of Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects behavior, communication, learning abilities, and interaction with others. Various artificial intelligence approaches were employed on the collected dataset obtained from a case-control study conducted retrospectively at child psychiatry clinics. The study involved 51 children diagnosed with ASD and 40 neurotypical children (TDC). We employed an artificial intelligence methodology to investigate the link between metabolic biomarkers and ASD.