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

Articles (70) Natural Language Processing (1353) Depression and Mood Disorders; Suicide Prevention (2543) Methods and New Tools in Mental Health Research (954) Diagnostic Tools in Mental Health (461) Data Science (730) Data Sources and Open Data for Infodemiology (40)

Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53365, first published .
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Development of Depression Data Sets and a Language Model for Depression Detection: Mixed Methods Study

Development of Depression Data Sets and a Language Model for Depression Detection: Mixed Methods Study

Authors of this article:

Faye Beatriz Tumaliuan1 Author Orcid Image ;   Lorelie Grepo1 Author Orcid Image ;   Eugene Rex Jalao1 Author Orcid Image
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Journals

  1. Alves R, Costa B, Martins H, Faria N. Machine Learning for Suicidality and Depression Risk Prediction: A Systematic Review of Electronic Health Records, Social Media, and Wearable Sensors. Journal of Artificial Intelligence for Healthcare Systems 2025;4(1) View

Books/Policy Documents

  1. Chhabra B, Mangotra I, Jain A, Jain M. Proceedings of Sixth Doctoral Symposium on Computational Intelligence. View

Conference Proceedings

  1. Vallente J, Doria A. Proceedings of the 9th International Conference on Machine Learning and Machine Intelligence. iskStress: A Hybrid System for Stress Detection in r/peyups using Fine-Tuned MentalBERT and an Enhanced Lexicon-Based Tool View