This paper is in the following e-collection/theme issue:

Games for Cognitive Assessment (92) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2145) Serious Games for Health and Medicine (808) Attention Deficit Disorder (ADD/ADHD) (91) Games in Pediatrics (53) Machine Learning (2095) Mental Health Games (115)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73408, first published .
A Novel Approach Using Serious Game Data to Predict the WISC-V Processing Speed Index in Children With Attention-Deficit/Hyperactivity Disorder: Machine Learning Study

A Novel Approach Using Serious Game Data to Predict the WISC-V Processing Speed Index in Children With Attention-Deficit/Hyperactivity Disorder: Machine Learning Study

A Novel Approach Using Serious Game Data to Predict the WISC-V Processing Speed Index in Children With Attention-Deficit/Hyperactivity Disorder: Machine Learning Study

Authors of this article:

Jun-Su Kim1 Author Orcid Image ;   Yoo Joo Jeong1, 2, 3 Author Orcid Image ;   Seung-Jae Kim1 Author Orcid Image ;   Su Jin Jun1 Author Orcid Image ;   Jin-Yeop Park1 Author Orcid Image ;   Hyang-Sook Hoe1, 2, 3 Author Orcid Image ;   Jeong-Heon Song1 Author Orcid Image
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Journals

  1. Kim J, Jeong Y, Kim S, Jun S, Park J, Hoe H, Song J. Correction: A Novel Approach Using Serious Game Data to Predict the WISC-V Processing Speed Index in Children With Attention-Deficit/Hyperactivity Disorder: Machine Learning Study. JMIR Serious Games 2025;13:e88500 View