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

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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
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  Data: <searchLink fieldCode="JN" term="%22BMC+Infectious+Diseases%22">BMC Infectious Diseases</searchLink>. 1/28/2025, Vol. 25 Issue 1, p1-15. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182539198
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