… developed and validated a predictive model for in-hospital mortality of moderate or severe
COVID-19 … Our findings, obtained and validated from a large series of hospitalized COVID-19 …

… of thousands of deaths worldwide. Predicting mortality among patients with COVID-19 who
… We aimed to develop an accurate prediction model of COVID-19 mortality using unbiased …

… COVID-19 patient’s risk of mortality. This study aims to: (1) develop models to predict daily
risk of mortality … predictors associated with mortality in patients with COVID-19 using variable …

… Once again, our study highlights the extraordinary impact of age on COVID-19 mortality, which
is, … to carry out cross-validation between the SEIMC COVID-19 score and other scores in a …

… validate a prognostic model for increased risk of mortality and survival time among individual
patients with SARS-CoV-2 pneumonia. Our validated … -threatening complications develop. …

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 study of …

… , we developed the VA COVID-19 (VACO) Index estimating 30-day COVID-19 mortality
after a positive test based on demographics and pre-existing conditions, and validated its …

… to develop and externally validate a COVID-19 mortality risk prediction algorithm. Design …
In this study, we developed the prediction algorithms of 60-day mortality risk among patients …

… covid-19 is needed with clear development and validation details. Our aim was to develop
and validate … in-hospital mortality in patients admitted to hospital with covid-19. We then aimed …

… develop a novel supervised ML-based prediction tool to help clinical teams identify inpatients
with COVID-19 at higher risk of near-term in-hospital mortality, … the development, validation …