Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data.
- DOI
- 10.2196/54421
- Published
- 2024 Sep 26
- Container
- JMIR public health and surveillance
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/54421,
title = {Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data.},
author = {Dasa O and Bai C and Sajdeya R and Kimmel SE and Pepine CJ and Gurka J MJ and Laubenbacher R and Pearson TA and Mardini MT},
year = {2024},
journal = {JMIR public health and surveillance},
doi = {10.2196/54421},
url = {https://doi.org/10.2196/54421}
}RIS
TY - JOUR TI - Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data. AU - Dasa O AU - Bai C AU - Sajdeya R AU - Kimmel SE AU - Pepine CJ AU - Gurka J MJ AU - Laubenbacher R AU - Pearson TA AU - Mardini MT PY - 2024 JO - JMIR public health and surveillance DO - 10.2196/54421 UR - https://doi.org/10.2196/54421 ER -
APA
O, D., C, B., R, S., SE, K., CJ, P., MJ, G. J., R, L., TA, P., & MT, M. (2024). Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data.. JMIR public health and surveillance. https://doi.org/10.2196/54421
Source records
- pubmed · retrieved 2026-09-26T19:05:10.894Z