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

Journals

  1. Song J, Yoon N, Jang S, Lee G, Kim B. Neuroimaging-Based Deep Learning in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder. Journal of the Korean Academy of Child and Adolescent Psychiatry 2020;31(3):97 View
  2. Popovic D, Schiltz K, Falkai P, Koutsouleris N. Präzisionspsychiatrie und der Beitrag von Brain Imaging und anderen Biomarkern. Fortschritte der Neurologie · Psychiatrie 2020;88(12):778 View
  3. Balcombe L, De Leo D. Digital Mental Health Challenges and the Horizon Ahead for Solutions. JMIR Mental Health 2021;8(3):e26811 View
  4. Graña M, Silva M. Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data. International Journal of Neural Systems 2021;31(04):2150009 View
  5. Cavus N, Lawan A, Ibrahim Z, Dahiru A, Tahir S, Abdulrazak U, Hussaini A. A Systematic Literature Review on the Application of Machine-Learning Models in Behavioral Assessment of Autism Spectrum Disorder. Journal of Personalized Medicine 2021;11(4):299 View
  6. Wang H, Avillach P. Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning. JMIR Medical Informatics 2021;9(4):e24754 View