Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study
- DOI
- 10.2196/80377
- Published
- 2026-07-09
- Container
- JMIR Medical Informatics
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/80377,
title = {Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study},
author = {Hielke Muizelaar and Marcel Haas and Maarten van Aken and Rimke Vos and Marco Spruit},
year = {2026},
journal = {JMIR Medical Informatics},
doi = {10.2196/80377},
url = {https://doi.org/10.2196/80377}
}RIS
TY - JOUR TI - Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study AU - Hielke Muizelaar AU - Marcel Haas AU - Maarten van Aken AU - Rimke Vos AU - Marco Spruit PY - 2026 JO - JMIR Medical Informatics DO - 10.2196/80377 UR - https://doi.org/10.2196/80377 ER -
APA
Muizelaar, H., Haas, M., Aken, M. V., Vos, R., & Spruit, M. (2026). Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study. JMIR Medical Informatics. https://doi.org/10.2196/80377
Source records
- crossref · retrieved 2026-09-24T19:28:56.195Z