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

Applications of AI (80) Ethical, Legal, and Social Issues in AI (32)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41205, first published .
Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation

Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation

Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation

Authors of this article:

David Owen1 Author Orcid Image ;   Dimosthenis Antypas1 Author Orcid Image ;   Athanasios Hassoulas2 Author Orcid Image ;   Antonio F Pardiñas3 Author Orcid Image ;   Luis Espinosa-Anke1 Author Orcid Image ;   Jose Camacho Collados1 Author Orcid Image
Article Authors Cited by (4) Tweetations (10) Metrics

Journals

  1. Owen D, Lynham A, Smart S, Pardiñas A, Camacho Collados J. AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges. Journal of Medical Internet Research 2024;26:e59225 View
  2. Deng T, Urbaczewski A, Lee Y, Barman-Adhikari A, Dewri R. Identifying Marijuana Use Behaviors Among Youth Experiencing Homelessness Using a Machine Learning–Based Framework: Development and Evaluation Study. JMIR AI 2024;3:e53488 View

Books/Policy Documents

  1. Bucur A. Experimental IR Meets Multilinguality, Multimodality, and Interaction. View