The present work aims to identify the predictors of COVID-19 in-hospital mortality testing a
set of Machine Learning Techniques (MLTs), comparing their ability to predict the outcome …

Background: Novel coronavirus disease 2019 (COVID-19) is an ongoing global pandemic
with high mortality. Although several studies have reported different risk factors for mortality …

Results 1,135 consecutive patients (median age 70 years, 64% male) were enrolled, 48
patients were excluded, and the cohort was randomly divided into training (760) and test …

The COVID‐19 pandemic has greatly affected populations worldwide and has posed a
significant challenge to medical systems. With the constant increase in the number of severe …

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 …

Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

This study aimed to identify clinical features for prognosing mortality risk using machine-
learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective …

Healthcare researchers have been working on mortality prediction for COVID-19 patients
with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity …

Background Several models have been developed to predict mortality in patients with
COVID-19 pneumonia, but only a few have demonstrated enough discriminatory capacity …

Abstract In Coronavirus disease 2019 (COVID-19), early identification of patients with a high
risk of mortality can significantly improve triage, bed allocation, timely management, and …