Valid Detection of Autism Spectrum Disorder with Structural and Functional MRI Information Using Machine Learning and Classification On Multi Site Data

Magnetic resonance imaging (MRI) has been used to investigate neural characteristics of people with Autism Spectrum Disorder (ASD). This research explored a machine learning model for ASD diagnosis using functional and structural MRI data from several datasets. Results demonstrated the conjunction of structural and functional classifiers significantly improves diagnostic accuracy.