Fairness-aware K-means clustering in digital mental health for higher education students: a generalizable framework for equitable clustering
Our work demonstrates how integrating fairness-aware objectives into clustering algorithms can enhance equity in partitioning systems. The framework we present is broadly applicable to clustering problems across various biomedical informatics domains.
Authors
- Wesley J. Marrero (ORCID: https://orcid.org/0000-0002-7092-2292)
- Nicholas C. Jacobson (ORCID: https://orcid.org/0000-0002-8832-4741)
- Zequn Chen (ORCID: https://orcid.org/0009-0000-0693-1250)
- Thomas Thesen
- Priyanshu Alluri
Institutions
- Dartmouth College (US)
- Dartmouth Institute for Health Policy and Clinical Practice (US)
- Dartmouth Psychiatric Research Center (US)
Publication Details
- Journal
- JAMIA Open
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1093/jamiaopen/ooaf174
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Dartmouth College