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A Unique Patient Stratification Method Combined with a Machine Learning Approach Identifies Novel Genetic Susceptibility and Protective Factors for Severe COVID-19 in a Hungarian Population.

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Title: A Unique Patient Stratification Method Combined with a Machine Learning Approach Identifies Novel Genetic Susceptibility and Protective Factors for Severe COVID-19 in a Hungarian Population.
Authors: Neller, Alexandra1 (AUTHOR), Bukva, Mátyás2 (AUTHOR), Gálik, Bence3 (AUTHOR), Kun, József3,4 (AUTHOR), Nagy, Nikoletta1,5 (AUTHOR), Somogyvári, Ferenc5,6 (AUTHOR), Endrész, Valéria5,7 (AUTHOR), Pál, Margit1,8 (AUTHOR) pal.margit@med.u-szeged.hu, Bokor, Barbara Anna1,9 (AUTHOR), Blazovich, Zsófia1 (AUTHOR), Visnyovszky, Ádám2,6 (AUTHOR), Bende, Balázs3,6 (AUTHOR), Urbán, Péter3,4 (AUTHOR), Kovácsné Levang, Szilvia5,7 (AUTHOR), Péterfi, Zoltán6,7 (AUTHOR), Kovács, Gábor L.3,7,8,9 (AUTHOR), Gombos, Katalin3,8,9 (AUTHOR), Gyenesei, Attila3,9 (AUTHOR), Széll, Márta1 (AUTHOR)
Source: International Journal of Molecular Sciences. Mar2026, Vol. 27 Issue 5, p2358. 21p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Molecular+Sciences%22">International Journal of Molecular Sciences</searchLink>. Mar2026, Vol. 27 Issue 5, p2358. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192638493
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        Value: 10.3390/ijms27052358
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        Text: English
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              Text: Mar2026
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              Y: 2026
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