Timely identification of COVID-19 patients at high risk of mortality can significantly improve
patient management and resource allocation within hospitals. This study seeks to develop …

Background: The coronavirus disease 2019 (COVID-19) pandemic has affected over
millions of individuals and caused hundreds of thousands of deaths worldwide. It can be …

COVID-19 is commonly mild and self-limiting, but in a considerable portion of patients the
disease is severe and fatal. Determining which patients are at high risk of severe illness or …

This study aimed to develop risk scores based on clinical characteristics at presentation to
predict intensive care unit (ICU) admission and mortality in COVID-19 patients. 641 …

Objectives Several physiological abnormalities that develop during COVID-19 are
associated with increased mortality. In the present study, we aimed to develop a clinical risk …

Background Chinese studies reported predictors of severe disease and mortality associated
with coronavirus disease 2019 (COVID-19). A generalizable and simple survival calculator …

Background Accurate risk prediction of clinical outcome would usefully inform clinical
decisions and intervention targeting in COVID-19. The aim of this study was to derive and …

Background The COVID-19 pandemic has affected millions of individuals and caused
hundreds of thousands of deaths worldwide. Predicting mortality among patients with COVID …

Background COVID-19 pandemic has rapidly required a high demand of hospitalization and
an increased number of intensive care units (ICUs) admission. Therefore, it became …

Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We
hypothesized that machine learning (ML) models could be used to predict risks at different …