Dasa, O., Bai, C., Sajdeya, R., Kimmel, S. E., Pepine, C. J., Gurka J, M. J., … Mardini, M. T. (2023). Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data (Preprint). https://doi.org/10.2196/preprints.54421

Dasa, Osama, Chen Bai, Ruba Sajdeya, Stephen E. Kimmel, Carl J. Pepine, Matthew J. Gurka J, Reinhard Laubenbacher, Thomas A. Pearson, and Mamoun T. Mardini. “Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data (Preprint),” November 12, 2023. https://doi.org/10.2196/preprints.54421.

Dasa O, Bai C, Sajdeya R, Kimmel SE, Pepine CJ, Gurka J MJ, et al. Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data (Preprint). 2023 Nov 12;

Dasa, Osama, et al. Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data (Preprint). Nov. 2023. Crossref, doi:10.2196/preprints.54421.

Dasa O, Bai C, Sajdeya R, Kimmel SE, Pepine CJ, Gurka J MJ, Laubenbacher R, Pearson TA, Mardini MT. Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data (Preprint). 2023 Nov 12;