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
Journals
- 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
- 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
- Wang J, Xi R, Wang Y, Gao H, Gao M, Zhang X, Zhang L, Zhang Y. Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach. Briefings in Bioinformatics 2024;26(1) View
- Dalal S, Jain S, Dave M. Review of Advancements in Depression Detection Using Social Media Data. IEEE Transactions on Computational Social Systems 2025;12(1):77 View
Books/Policy Documents
- Bucur A. Experimental IR Meets Multilinguality, Multimodality, and Interaction. View