Additional file 2 of 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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Description:
Supplementary Material 2
Auteur(s) :
Nirmalarajah, Kuganya

Nirmalarajah, Kuganya

, Aftanas, Patryk

Aftanas, Patryk

, Barati, Shiva

Barati, Shiva

Sinai Health System
, Chien, Emily

Chien, Emily

, Crowl, Gloria

Crowl, Gloria

Sinai Health System
, Faheem, Amna

Faheem, Amna

Sinai Health System
, Farooqi, Lubna

Farooqi, Lubna

Sinai Health System
, Jamal, Alainna J.

Jamal, Alainna J.

Sinai Health System
, Khan, Saman

Khan, Saman

Sinai Health System
, Kotwa, Jonathon D.

Kotwa, Jonathon D.

, Li, Angel X.

Li, Angel X.

Sinai Health System
, Mozafarihashjin, Mohammad

Mozafarihashjin, Mohammad

Sinai Health System
, Nasir, Jalees A.

Nasir, Jalees A.

McMaster University
, Shigayeva, Altynay

Shigayeva, Altynay

Sinai Health System
, Yim, Winfield

Yim, Winfield

, Yip, Lily

Yip, Lily

, Zhong, Xi Zoe

Zhong, Xi Zoe

Sinai Health System
, Katz, Kevin

Katz, Kevin

, Kozak, Robert

Kozak, Robert

, McArthur, Andrew G.

McArthur, Andrew G.

McMaster University
, Daneman, Nick

Daneman, Nick

, Maguire, Finlay

Maguire, Finlay

, McGeer, Allison J.

McGeer, Allison J.

University of Toronto Sinai Health System
, Duvvuri, Venkata R.

Duvvuri, Venkata R.

University of Toronto York University Public Health Ontario
et Mubareka, Samira

Mubareka, Samira

Dépôt source:
Figshare
Éditeur(s):
figshare
License:
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
URL:
https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Identification_of_patient_demographic_clinical_and_SARS-CoV-2_genomic_factors_associated_with_severe_COVID-19_using_supervised_machine_learning_a_retrospective_multicenter_study/28301154
Date de publication:
2025
Sujets (en):
FOS: Biological sciences, Virology, Medicine, Biotechnology, Biological Sciences not elsewhere classified, Genetics, FOS: Health sciences, Infectious Diseases, Immunology, FOS: Clinical medicine, et Mental Health
Identificateur:
https://doi.org/10.6084/m9.figshare.28301154

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Citation selon les normes APA:
Additional file 2 of Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study. (2025). [Data set]. Figshare. https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Identification_of_patient_demographic_clinical_and_SARS-CoV-2_genomic_factors_associated_with_severe_COVID-19_using_supervised_machine_learning_a_retrospective_multicenter_study/28301154
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