Development of machine learning models to predict risk of hospitalisation and 90-day readmission among patients with cardiovascular risk factors using community health survey data
Integrating such patient-reported and behavioural data into electronic health records could enable earlier identification of high-risk individuals and support targeted, preventive interventions to improve healthcare outcomes.
Authors
- Md. Mohaimenul Islam
- T. Y. Li
- Askal Ayalew Ali (ORCID: https://orcid.org/0000-0002-0535-6300)
- Vakaramoko Diaby (ORCID: https://orcid.org/0000-0002-6251-0773)
- Sarah G. Buxbaum (ORCID: https://orcid.org/0000-0002-4886-3564)
- Arinze Nkemdirim Okere
Institutions
- University of Florida (US)
- University at Buffalo, State University of New York (US)
- Florida Agricultural and Mechanical University (US)
Publication Details
- Journal
- BMJ Health & Care Informatics
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1136/bmjhci-2025-101742
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00