A Survey on Early Detection of Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects a significant portion of the population. Early identification and intervention are crucial for optimal developmental outcomes. This study reviews the application of machine learning and deep learning techniques in early ASD diagnosis. By examining research on diverse datasets and methodologies, this review analyzes the advancements in accuracy and efficiency of these technologies. The findings of this study provide valuable insights for researchers, medical professionals, and policymakers in improving early ASD detection and developing effective intervention strategies.