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, Republic of Korea

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

3 Department of Psychology, University of Alabama at Tuscaloosa, Tuscaloosa, AL, United States

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

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

Corresponding Author:

  • Sun Jae Moon, MD
  • Ewha Womans University Mokdong Hospital
  • Ewha Womans University Medical Center
  • 1071, Anyangcheon-ro, Yangcheon-gu
  • Seoul, 07985
  • Republic of Korea
  • Phone: 82 1022271081
  • Fax: 82 546795873
  • Email: sunjaemoon16@gmail.com