Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.
- DOI
- 10.1186/s12879-025-10450-3
- Published
- 2025 Jan 28
- Container
- BMC infectious diseases
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1186/s12879-025-10450-3,
title = {Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.},
author = {Nirmalarajah K and Aftanas P and Barati S and Chien E and Crowl G and Faheem A and Farooqi L and Jamal AJ and Khan S and Kotwa JD and Li AX and Mozafarihashjin M and Nasir JA and Shigayeva A and Yim W and Yip L and Zhong XZ and Katz K and Kozak R and McArthur AG and Daneman N and Maguire F and McGeer AJ and Duvvuri VR and Mubareka S},
year = {2025},
journal = {BMC infectious diseases},
doi = {10.1186/s12879-025-10450-3},
url = {https://doi.org/10.1186/s12879-025-10450-3}
}RIS
TY - JOUR TI - Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study. AU - Nirmalarajah K AU - Aftanas P AU - Barati S AU - Chien E AU - Crowl G AU - Faheem A AU - Farooqi L AU - Jamal AJ AU - Khan S AU - Kotwa JD AU - Li AX AU - Mozafarihashjin M AU - Nasir JA AU - Shigayeva A AU - Yim W AU - Yip L AU - Zhong XZ AU - Katz K AU - Kozak R AU - McArthur AG AU - Daneman N AU - Maguire F AU - McGeer AJ AU - Duvvuri VR AU - Mubareka S PY - 2025 JO - BMC infectious diseases DO - 10.1186/s12879-025-10450-3 UR - https://doi.org/10.1186/s12879-025-10450-3 ER -
APA
K, N., P, A., S, B., E, C., G, C., A, F., L, F., AJ, J., S, K., JD, K., AX, L., M, M., JA, N., A, S., W, Y., L, Y., XZ, Z., K, K., R, K., AG, M., N, D., F, M., AJ, M., VR, D., & S, M. (2025). Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.. BMC infectious diseases. https://doi.org/10.1186/s12879-025-10450-3
Source records
- pubmed · retrieved 2026-09-26T12:57:01.516Z
- europe-pmc · retrieved 2026-09-26T12:57:01.509Z
- doaj · retrieved 2026-09-26T12:57:01.493Z