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Discretionary Corrigenda (110)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79198, first published .
Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

Authors of this article:

Daun Shin1, 2 Author Orcid Image ;   Hyoseung Kim3 Author Orcid Image ;   Seunghwan Lee3 Author Orcid Image ;   Younhee Cho2, 4 Author Orcid Image ;   Whanbo Jung2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    Corrigenda and Addenda

    1Department of Psychiatry, Anam Hospital, Korea University, Seoul, Republic of Korea

    2Doctorpresso, Seoul, Republic of Korea

    3VOLTWIN, Seoul, Republic of Korea

    4Department of Design, Seoul National University, Seoul, Republic of Korea

    Corresponding Author:

    Daun Shin, MD, PhD

    Department of Psychiatry

    Anam Hospital

    Korea University

    73 Goryeodae-ro

    Seongbuk-gu

    Seoul, 02841

    Republic of Korea

    Phone: 82 1093649735

    Fax:82 2 920 5185

    Email: rune1018@gmail.com



    In “Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study” (J Med Internet Res 2024;26:e54617) the authors noted one error.

    The grant number has been corrected from:

    This work was also supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute funded by the Ministry of Health & Welfare, Republic of Korea (grant HI23C1234).

    to:

    This work was also supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute funded by the Ministry of Health & Welfare, Republic of Korea (grant HI23C0035).

    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 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 16.06.25; accepted 19.06.25; published 08.07.25.

    Copyright

    ©Daun Shin, Hyoseung Kim, Seunghwan Lee, Younhee Cho, Whanbo Jung. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 08.07.2025.

    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 the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.