Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey Article

Eslami, Taban, Almuqhim, Fahad, Raiker, Joseph S et al. (2021). Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey . 14 10.3389/fninf.2020.575999

Open Access

cited authors

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

sustainable development goals

authors

publication date

  • January 20, 2021

keywords

  • ADHD
  • Attention Deficit and Hyperactivity Disorder (ADHD) classification
  • Autism Spectrum Disorder (ASD) classification
  • BRAIN CONNECTIVITY
  • CHILDREN
  • CLASSIFICATION
  • DEEP NEURAL-NETWORK
  • DEFICIT HYPERACTIVITY DISORDER
  • FEATURE-SELECTION
  • FEEDFORWARD NETWORKS
  • GRAPH-THEORY
  • Life Sciences & Biomedicine
  • Mathematical & Computational Biology
  • Neurosciences
  • Neurosciences & Neurology
  • RESTING-STATE FMRI
  • Science & Technology
  • deep learning
  • diagnosis
  • fMRI
  • machine learning
  • sMRI
  • survey

Digital Object Identifier (DOI)

publisher

  • FRONTIERS MEDIA SA

volume

  • 14