… Predicting mortality among patients with COVID-19 who … prediction model of COVID-19
mortality using unbiased computational methods, and identify the clinical features most predictive …

… review of covid-19 related prediction models We identified six prognostic models and two
scoring rules that met the inclusion criteria (fig 1). Table 1 summarises the details of the models …

… Therefore, we used the imputed version of the development set with 20 features and XGBoost,
to develop the first COVID-19 mortality predictor in this study, referred to as the 20F model…

… This study uses a supervised XGBoost classifier 8 as the predictor model. XGBoost is a
high-performance machine learning algorithm that benefits from great interpretability potential …

… risk mortality, we developed a clinical prediction rule for prognosis of COVID-19 patients and
a calculator to allow clinicians … We identified 8 clinical and laboratory variables that stratify …

… To the best of our knowledge, a number of factors associated with mortality due to COVID-19 …
helpful in early prediction and risk reduction of mortality in patients infected with COVID-19. …

… in predicting COVID-19 severity [9–11]. Here we report a predictive model and a risk score
system to predict … and in-hospital mortality in laboratory-confirmed COVID-19 patients. This …

… with COVID-19 disease have fewer hospitalizations and deaths than men. The results of
the meta-analysis also showed that male sex appear to be a risk factor for COVID-19 mortality. …

… Since our aim is to develop mortality prediction model that is independent on the days to
outcome, all the readings of the patients are considered as unique data-points for further …

… Clinical features of COVID-19 mortality: development and validation of a clinical prediction
model… An accurate and parsimonious COVID-19 mortality prediction model based on three …