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.

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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
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article

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

Jin-Yeop Park, Jun Su, Yongbin Jeong, J. Y. Kim et al.
1 citations
JMIR Serious Games
Attention Deficit Hyperactivity Disorder
1.47
article

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

Jin-Yeop Park, Jun Su, Yongbin Jeong, J. Y. Kim, Hyang‐Sook Hoe, Seung‐Jae Kim, Jeong-Heon Song
article en
1 citations

Abstract

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.

JMIR Serious GamesVol. 13
Daegu Gyeongbuk Institute of Science and Technology (KR), Korea Brain Research Institute (KR)
Quality Education
Openalex Percentile: Top 16%
Attention Deficit Hyperactivity Disorder
1.47
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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 — Jin-Yeop Park, Jun Su, et al. · JMIR Serious Games (2025) | TGRS Research Map | TGRS