Wavelet Based fMRI Analysis for Autism Spectrum Disorder Detection using Feature Selection and Ridge Classifier

As autism spectrum disorder (ASD) rates rise, timely diagnosis and treatment are increasingly crucial. However, current diagnostic methods rely on subjective criteria, such as clinical observations and tests, which are costly and time-consuming. Functional Magnetic Resonance Imaging (fMRI) shows promising potential in identifying ASD. However, its use is limited by cost and data availability issues. Leveraging machine learning (ML) can help …