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Discretionary Corrigenda (84)

Published on in Vol 21, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15966, first published .
Addendum to the Acknowledgements: Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Addendum to the Acknowledgements: Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Addendum to the Acknowledgements: Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Authors of this article:

Chul-Hyun Cho1 Author Orcid Image ;   Taek Lee2 Author Orcid Image ;   Min-Gwan Kim3 Author Orcid Image ;   Hoh Peter In3 Author Orcid Image ;   Leen Kim1 Author Orcid Image ;   Heon-Jeong Lee1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

    Corrigenda and Addenda

    1Korea University College of Medicine, Department of Psychiatry, Seoul, Republic of Korea

    2Sungshin University, Department of Convergence Security Engineering, Seoul, Republic of Korea

    3Korea University College of Informatics, Department of Computer Science and Engineering, Seoul, Republic of Korea

    *these authors contributed equally

    Corresponding Author:

    Heon-Jeong Lee, MD, PhD

    Korea University College of Medicine

    Department of Psychiatry

    Anam Hospital, Korea University College of Medicine

    Seoul

    Republic of Korea

    Phone: 82 029205815

    Email: leehjeong@korea.ac.kr



    The authors of “Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study” (J Med Internet Res 2019;21(4):e11029) missed an important source of funding in the Acknowledgments section — the Korea Health 21 R&D Project funded by the National Research Foundation of Korea (2017M3A9F1031220).

    At the time of publication, the Acknowlegments section read as follows:

    This independent research study was supported by the Korea Health 21 R&D Project funded by the Ministry of Health & Welfare, Republic of Korea (HM14C2606 and HI14C3212) and the National Research Foundation of Korea (2016M3C7A1904345). Most of all, the authors express their gratitude to the participants who took part in the study.

    The revised Acknowledgments section now appears as follows:

    This independent research study was supported by the Korea Health 21 R&D Project funded by the Ministry of Health & Welfare, Republic of Korea (HM14C2606 and HI14C3212), and the National Research Foundation of Korea (2016M3C7A1904345 and 2017M3A9F1031220). Most of all, we express our gratitude to the participants who took part in the study.

    The correction will appear in the online version of the paper on the JMIR website on October 3, 2019, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    This is a non–peer-reviewed article. submitted 22.08.19; accepted 29.08.19; published 03.10.19.

    Copyright

    ©Chul-Hyun Cho, Taek Lee, Min-Gwan Kim, Hoh Peter In, Leen Kim, Heon-Jeong Lee. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 03.10.2019.

    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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.