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
The developed PSI prediction model has the potential to serve as an objective and accessible tool for monitoring cognitive function in children with ADHD. As a complement to traditional assessments, this approach allows continuous tracking of symptom changes and can support more personalized treatment planning in both clinical and everyday settings, which may improve accessibility and adherence. However, the findings need to be validated in larger, more diverse populations, and the long-term feasibility of using serious games in clinical and educational settings must be further examined.
Authors
- Jin-Yeop Park
- Jun Su (ORCID: https://orcid.org/0000-0002-8518-6443)
- Yongbin Jeong (ORCID: https://orcid.org/0000-0002-0311-6629)
- J. Y. Kim (ORCID: https://orcid.org/0009-0001-1191-6079)
- Hyang‐Sook Hoe (ORCID: https://orcid.org/0000-0001-8877-8594)
- Seung‐Jae Kim (ORCID: https://orcid.org/0000-0001-9955-4254)
- Jeong-Heon Song (ORCID: https://orcid.org/0009-0000-5443-1066)
Institutions
- Daegu Gyeongbuk Institute of Science and Technology (KR)
- Korea Brain Research Institute (KR)
Publication Details
- Journal
- JMIR Serious Games
- Published
- 2025-08-30
- DOI
- https://doi.org/10.2196/73408
- Citations
- 1
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 1.47