Published on in Vol 6, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14108, first published .
Accuracy of Machine Learning Algorithms for the Diagnosis of Autism Spectrum Disorder: Systematic Review and Meta-Analysis of Brain Magnetic Resonance Imaging Studies

Accuracy of Machine Learning Algorithms for the Diagnosis of Autism Spectrum Disorder: Systematic Review and Meta-Analysis of Brain Magnetic Resonance Imaging Studies

Accuracy of Machine Learning Algorithms for the Diagnosis of Autism Spectrum Disorder: Systematic Review and Meta-Analysis of Brain Magnetic Resonance Imaging Studies

Sun Jae Moon 1, MD;  Jinseub Hwang 2, PhD;  Rajesh Kana 3, PhD;  John Torous 4, MD, MBI;  Jung Won Kim 5, MD

1 Ewha Womans University Mokdong Hospital, Ewha Womans University Medical Center , Seoul , KR

2 Department of Computer Science and Statistics, Daegu University , Gyeongsangbuk-do , KR

3 Department of Psychology, University of Alabama at Tuscaloosa , Tuscaloosa, AL, US

4 Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, US

5 Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham , Birmingham, AL, US

Corresponding Author:

  • Sun Jae Moon, MD
  • Ewha Womans University Mokdong Hospital
  • Ewha Womans University Medical Center
  • 1071, Anyangcheon-ro, Yangcheon-gu
  • Seoul
  • KR
  • Phone: 82 1022271081
  • Email: sunjaemoon16@gmail.com