Accounting for racial bias and social determinants of health in a model of hypertension control
Models using non-clinical factors can predict which patients exhibit poorly controlled hypertension. Racial and SDoH variables are significant predictors but lead to biased predictive models. Race-specific models are not sufficient to resolve such biases and require further decision threshold tuning. A host of structural socioeconomic factors are identified to be targeted to reduce disparities in hypertension control.
Authors
- Nicholas Cordella (ORCID: https://orcid.org/0000-0002-0857-3546)
- Rebecca G. Mishuris (ORCID: https://orcid.org/0000-0002-4804-3128)
- Ioannis Ch. Paschalidis (ORCID: https://orcid.org/0000-0002-3343-2913)
- Hu Yang (ORCID: https://orcid.org/0000-0003-3692-0194)
Institutions
- Boston University (US)
- Boston Medical Center (US)
- Harvard University (US)
- Mass General Brigham (US)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1186/s12911-025-02873-4
- Citations
- 3
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.16
Funders
- National Science Foundation
- Georgia Clinical and Translational Science Alliance
- National Institutes of Health
- Office of Naval Research
- Division of Electrical, Communications and Cyber Systems
- National Center for Advancing Translational Sciences