Understanding clinical features and risk factors associated with COVID-19 mortality is
needed to early identify critically ill patients, initiate treatments and prevent mortality. A …

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 …

Background The COVID-19 pandemic has seen a large surge in case numbers over several
waves, and has critically strained the health care system, with a significant number of cases …

Abstract Background Corona Virus Disease 2019 (COVID-19) presentations range from
those similar to the common flu to severe pneumonia resulting in hospitalization with …

Background The aim of this study is to develop and validate a scoring system as a tool for
predicting the in-hospital mortality in COVID-19 patients in early stage of disease. Methods …

Mortality Prediction of COVID-19 Patients at Intensive Care Unit Admission - PMC Back to
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Background At the end of 2019, the coronavirus disease 2019 (COVID-19) pandemic
increased the hospital burden of COVID-19 caused by the SARS-Cov-2 and became the …

Objective: The coronavirus disease 2019 (COVID-19) has become a global pandemic.
Timely and effective predictors of survival and death rates are crucial for improving the …

Background Coronavirus disease highly contagious, is prevalent in all age and sex groups
infecting the respiratory system. The present study seeks to investigate the epidemiology …

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 …