Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging

Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects approximately 1% of the population and causes significant burdens. ASD’s pathogenesis remains elusive; hence, diagnosis is based on a constellation of behaviors. Structural magnetic resonance imaging (sMRI) studies...

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Bibliographic Details
Main Authors: Reem Ahmed Bahathiq, Haneen Banjar, Ahmed K. Bamaga, Salma Kammoun Jarraya
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neuroinformatics
Subjects:
autism spectrum disorder (ASD)
biomarkers
structural magnetic resonance imaging (sMRI)
machine learning
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.949926/full

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