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Open Access

Peer-reviewed

Research Article

Identification of high-risk COVID-19 patients using machine learning

Mario A. Quiroz-Juárez ,

Roles Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

* E-mail: maqj@xanum.uam.mx

Affiliation Departamento de Física, Universidad Autónoma Metropolitana Unidad Iztapalapa, Ciudad de México, México

https://orcid.org/0000-0002-5995-9510

⨯
Armando Torres-Gómez,

Roles Supervision, Writing – review & editing

Affiliation ABC Medical Center, Ciudad de México, México
⨯
Irma Hoyo-Ulloa,

Roles Supervision, Writing – review & editing

Affiliation ABC Medical Center, Ciudad de México, México
⨯
Roberto de J. León-Montiel,

Roles Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review & editing

Affiliation Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Ciudad de México, México
⨯
Alfred B. U’Ren

Roles Conceptualization, Investigation, Methodology, Writing – review & editing

Affiliation Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Ciudad de México, México
⨯

Identification of high-risk COVID-19 patients using machine learning

Mario A. Quiroz-Juárez,
Armando Torres-Gómez,
Irma Hoyo-Ulloa,
Roberto de J. León-Montiel,
Alfred B. U’Ren

x

Published: September 20, 2021
https://doi.org/10.1371/journal.pone.0257234

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Machine learning algorithms
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Respiratory infections
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