A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients
This validated ePHQ-9 model contributes to addressing measurement gaps in depression treatment and research by adding substantially to the number of measures available in real-world data for clinical follow-up.
Authors
- Pedro Alves (ORCID: https://orcid.org/0000-0001-5740-5904)
- Chandra J. Cohen-Stavi
- Costas Boussios
- Carl D. Marci
- Kirstie Whelan
Institutions
- University College Dublin (IE)
- Massachusetts General Hospital (US)
- Office of Multidisciplinary Activities (US)
Publication Details
- Journal
- Journal of Affective Disorders
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1016/j.jad.2025.01.152
- Citations
- 4
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 8.47