Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters

Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters

The coronavirus disease 2019 (COVID-19) pandemic has affected hundreds of millions of individuals and caused millions of deaths worldwide. Predicting the clinical course of the disease is of pivotal importance to manage patients. Several studies have found hematochemical alterations in COVID-19 pati...

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Bibliographic Details
Main Authors: Nicola Altini, Antonio Brunetti, Stefano Mazzoleni, Fabrizio Moncelli, Ilenia Zagaria, Berardino Prencipe, Erika Lorusso, Enrico Buonamico, Giovanna Elisiana Carpagnano, Davide Fiore Bavaro, Mariacristina Poliseno, Annalisa Saracino, Annalisa Schirinzi, Riccardo Laterza, Francesca Di Serio, Alessia D’Introno, Francesco Pesce, Vitoantonio Bevilacqua
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
COVID-19
machine learning
Kaplan–Meier
Cox regression
hematochemical parameters
prognostic markers
Online Access:https://www.mdpi.com/1424-8220/21/24/8503

Internet

https://www.mdpi.com/1424-8220/21/24/8503

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