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

Games for Cognitive Assessment (92) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Serious Games for Health and Medicine (802) Attention Deficit Disorder (ADD/ADHD) (90) Games in Pediatrics (53) Machine Learning (2076) 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
Article Authors Cited by Tweetations Metrics

Jun-Su Kim   1 * , MS ;   Yoo Joo Jeong   1, 2, 3 * , BS ;   Seung-Jae Kim   1 , MS ;   Su Jin Jun   1 , BS ;   Jin-Yeop Park   1 , BS ;   Hyang-Sook Hoe   1, 2, 3 , PhD ;   Jeong-Heon Song   1 , PhD

1 AI-based Neurodevelopmental Diseases Digital Therapeutics Group, Korea Brain Research Institute (KBRI), Daegu, Republic of Korea

2 Neurodegenerative Disease Group, Korea Brain Research Institute (KBRI), Daegu, Republic of Korea

3 Department of Brain and Cognitive Sciences, Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jeong-Heon Song, PhD
  • AI-based Neurodevelopmental Diseases Digital Therapeutics Group
  • Korea Brain Research Institute (KBRI)
  • 61, Cheomdan-ro
  • Daegu 41062
  • Republic of Korea
  • Email: jhsong@kbri.re.kr