Original article
Prediction of COVID-19 mortality using machine learning strategies and a large-scale panel of plasma inflammatory proteins: A cohort study
Predicción de la mortalidad por COVID-19 utilizando estrategias de aprendizaje automático y un panel a gran escala de proteínas inflamatorias plasmáticas: un estudio de cohorte
Luiz Filipe Bastos Mendesa, Henrique Ritter Dal-Pizzola, Gabriele Prestesb, Carolina Saibro Girardia, Lucas Santosa, Daniel Pens Gelaina, Glauco A. Westphalc, Roger Walzd, Cristiane Ritterb,e, Felipe Dal-Pizzolb,e,
, Jose Claudio Fonseca Moreiraa
Autor para correspondencia
piz@unesc.net
Corresponding author at: Laboratory of Experimental Pathophysiology, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil.
Corresponding author at: Laboratory of Experimental Pathophysiology, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil.
a Departamento de Bioquímica, Centro de Estudos em Estresse Oxidativo, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
b Laboratory of Experimental Pathophysiology, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
c Centro Hospitalar Unimed, Joinville, SC, Brazil
d Center for Applied Neuroscience, University Hospital (HU), Federal University of Santa Catarina (UFSC), Florianópolis, SC, Brazil
e Intensive Care Unit, Hospital São José, Criciúma, SC, Brazil
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