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Discretionary Corrigenda (12)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88500, first published .
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

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

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

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

    1AI-based Neurodevelopmental Diseases Digital Therapeutics Group, Korea Brain Research Institute (KBRI), 61, Cheomdan-ro, Daegu, Republic of Korea

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

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

    *these authors contributed equally

    Corresponding Author:

    Jeong-Heon Song, PhD



    In “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” [1], the authors noted one error.

    In the Acknowledgments section, the following information has been added:

    JHS and HSH contributed equally as co-corresponding authors on this work, and the latter can be reached at sookhoe72@kbri.re.kr.

    The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this correction was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    1. Kim JS, Jeong YJ, Kim SJ, et al. 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. Oct 14, 2025;13:e73408. [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 26.Nov.2025; accepted 05.Dec.2025; published 22.Dec.2025.

    Copyright

    © Jun-Su Kim, Yoo Joo Jeong, Seung-Jae Kim, Su Jin Jun, Jin-Yeop Park, Hyang-Sook Hoe, Jeong-Heon Song. Originally published in JMIR Serious Games (https://games.jmir.org), 22.Dec.2025.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Serious Games, is properly cited. The complete bibliographic information, a link to the original publication on https://games.jmir.org, as well as this copyright and license information must be included.