Predicting Mortality and ICUs Transfer in Hospitalized COVID-19 Patients Using Random Forest Model

Predicting Mortality and ICUs Transfer in Hospitalized COVID-19 Patients Using Random Forest Model

Background: The objective of the present study was to identify prognostic factors associated with mortality and transfer to intensive care units (ICUs) in hospitalized COVID-19 patients using random forest (RF). Also, its performance was compared with logistic regression (LR). Methods: In this retr...

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Bibliographic Details
Main Authors: Roya Najafi-Vosough, Mohammad Hossein Bakhshaei, Mahnaz Farzian
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2023-10-01
Series:Archives of Anesthesia and Critical Care
Subjects:
COVID-19
Mortality
Intensive Care Units
Random Forest
Logistic Regression.
Online Access:https://aacc.tums.ac.ir/index.php/aacc/article/view/677

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https://aacc.tums.ac.ir/index.php/aacc/article/view/677

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