This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (3184) Depression and Mood Disorders; Suicide Prevention (1533) Natural Language Processing (809) mHealth for Data Collection and Research (1091) Diagnostic Tools in Mental Health (284) Decision Support for Health Professionals (1361) Generative Language Models Including ChatGPT (521) mHealth for Diagnosis (72)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54617, first published .
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

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

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 (6) Tweetations (1) Metrics

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  2. Liu J, Gu J, Tong M, Yue Y, Qiu Y, Zeng L, Yu Y, Yang F. Evaluating the Agreement Between ChatGPT-4 and Validated Mental Health Scales in Older Adults: A Cross-Sectional Study. The American Journal of Geriatric Psychiatry 2025 View
  3. Jin Y, Liu J, Li P, Wang B, Yan Y, Zhang H, Ni C, Wang J, Li Y, Bu Y, Wang Y. The Applications of Large Language Models in Mental Health: Scoping Review. Journal of Medical Internet Research 2025;27:e69284 View
  4. Wang X, Zhou Y, Zhou G. The application and ethical implication of generative AI in mental health: A systematic review (Preprint). JMIR Mental Health 2024 View
  5. John J, Prathap B, Gupta G, Melanaturu J. Categorizing Mental Stress: A Consistency-Focused Benchmarking of ML and DL Models for Multi-Label, Multi-Class Classification via Taxonomy-Driven NLP Techniques. Natural Language Processing Journal 2025;11:100162 View
  6. Su H, Sun Y, Li R, Zhang A, Yang Y, Xiao F, Duan Z, Chen J, Hu Q, Yang T, Xu B, Zhang Q, Zhao J, Li Y, Li H. Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis. Journal of Medical Internet Research 2025;27:e72062 View