Background COVID-19 pandemic has developed rapidly and the ability to stratify the most
vulnerable patients is vital. However, routinely used severity scoring systems are often low …

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

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 …

The number of proposed prognostic models for coronavirus disease 2019 (COVID-19) is
growing rapidly, but it is unknown whether any are suitable for widespread clinical …

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 …

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 …

Objective To externally validate various prognostic models and scoring rules for predicting
short term mortality in patients admitted to hospital for covid-19. Design Two stage individual …

Abstract Purpose The Coronavirus disease 2019 (COVID-19) has led to an unparalleled
influx of patients. Prognostic scores could help optimizing healthcare delivery, but most of …

Background This study aimed to develop mortality-prediction models for patients with
coronavirus disease-2019 (COVID-19). Methods The training cohort included consecutive …