Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score

Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score

An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emergency department (ED) was developed and validated using a machine-learning model. In total, 2782 patients were enrolled between March 2020 and December 2020, including 2106 patients (first wave) and 6...

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Bibliographic Details
Main Authors: Emirena Garrafa, Marika Vezzoli, Marco Ravanelli, Davide Farina, Andrea Borghesi, Stefano Calza, Roberto Maroldi
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-10-01
Series:eLife
Subjects:
biomarker
COVID-19
random forests
VIM
SMOTE
PDP
Online Access:https://elifesciences.org/articles/70640

Internet

https://elifesciences.org/articles/70640

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