View in EDS HTML Full Text PDF Full Text

Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.

Saved in:
Bibliographic Details
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.
Authors: Nirmalarajah, Kuganya1,2,3 (AUTHOR), Aftanas, Patryk4 (AUTHOR), Barati, Shiva5 (AUTHOR), Chien, Emily1 (AUTHOR), Crowl, Gloria5 (AUTHOR), Faheem, Amna5 (AUTHOR), Farooqi, Lubna5 (AUTHOR), Jamal, Alainna J.5 (AUTHOR), Khan, Saman5 (AUTHOR), Kotwa, Jonathon D.1 (AUTHOR), Li, Angel X.5 (AUTHOR), Mozafarihashjin, Mohammad5 (AUTHOR), Nasir, Jalees A.6,7 (AUTHOR), Shigayeva, Altynay5 (AUTHOR), Yim, Winfield1 (AUTHOR), Yip, Lily1 (AUTHOR), Zhong, Xi Zoe5 (AUTHOR), Katz, Kevin4,8 (AUTHOR), Kozak, Robert1,3,4 (AUTHOR), McArthur, Andrew G.6,7 (AUTHOR)
Source: BMC Infectious Diseases. 1/28/2025, Vol. 25 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Description
ISSN:14712334
DOI:10.1186/s12879-025-10450-3