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In Frontiers in neuroinformatics

Here we summarize recent progress in machine learning model for diagnosis of Autism Spectrum Disorder (ASD) and Attention-deficit/Hyperactivity Disorder (ADHD). We outline and describe the machine-learning, especially deep-learning, techniques that are suitable for addressing research questions in this domain, pitfalls of the available methods, as well as future directions for the field. We envision a future where the diagnosis of ASD, ADHD, and other mental disorders is accomplished, and quantified using imaging techniques, such as MRI, and machine-learning models.

Eslami Taban, Almuqhim Fahad, Raiker Joseph S, Saeed Fahad


Attention Deficit and Hyperactivity Disorder (ADHD) classification, Autism Spectrum Disorder (ASD) classification, deep learning, diagnosis, fMRI, machine learning, sMRI, survey