Community medical centers struggle to produce well-calibrated clinical prediction models: Data augmentation can help
Connections to large medical centers are not enough to promote accurate ML at all sites within a healthcare system. Data augmentation and SDG may provide the necessary data volumes to enable local recalibration at smaller facilities.
Authors
- Sharon E. Davis (ORCID: https://orcid.org/0000-0003-0792-8867)
- Bradley Malin (ORCID: https://orcid.org/0000-0003-3040-5175)
- Katherine L Brown
Institutions
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2026-03-11
- DOI
- https://doi.org/10.1016/j.jbi.2026.105012
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00