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

Games for Cognitive Assessment (98) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2291) Serious Games for Health and Medicine (839) Attention Deficit Disorder (ADD/ADHD) (97) Mental Health Games (124) Machine Learning (2260) Games in Pediatrics (59)

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
Article Authors Cited by (2) Tweetations Metrics

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
  2. Song J, Lee S, Kim J, Kim S, Choun S. Effects of an Eye-Tracking Digital Serious Game on Cognitive Function in Mild Cognitive Impairment: A Pilot Intervention Study (Preprint). JMIR Formative Research 2025 View