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
  7. Lin P, Moni M, Gau S, Eapen V. Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms. Frontiers in Psychiatry 2021;12 View
  8. Squarcina L, Nosari G, Marin R, Castellani U, Bellani M, Bonivento C, Fabbro F, Molteni M, Brambilla P. Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine. Brain and Behavior 2021 View
  9. Ghosh T, Banna M, Rahman M, Kaiser M, Mahmud M, Hosen A, Cho G. Artificial intelligence and internet of things in screening and management of autism spectrum disorder. Sustainable Cities and Society 2021;74:103189 View

Books/Policy Documents

  1. Bedi P, Goyal S, Kumar J, Kumar S. Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder. View