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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

Daun Shin   1, 2 , MD, PhD ;   Hyoseung Kim   3 , BS ;   Seunghwan Lee   3 , BS ;   Younhee Cho   2, 4 , DA ;   Whanbo Jung   2 , MD

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

2 Doctorpresso, Seoul, Republic of Korea

3 VOLTWIN, Seoul, Republic of Korea

4 Department 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