… and a post-processing method to calibrate the predictions to reported COVID-19 case-… to
provide risk prediction models for COVID-19 were described in the first months of the COVID-19 …

… : diagnosis of COVID-19 and prediction of mortality risk and … and prediction of severity and
mortality risk in COVID-19. In … to classification tasks elated to COVID-19 applications, and …

… The novel coronavirus (COVID-19) hit our blue planet and … to contain the spread of coronavirus,
they need all the help … process of finding a cure for COVID-19. Forecasting is a collection …

… prediction of COVID-19. The dataset considered in this study to investigate the effects and
possible future prediction of COVID-19 is … distance for the prediction of the risk of COVID-19. …

… the course of infection in patients with covid-19; and prediction models to identify people
in the general population at risk of covid-19 infection or at risk of being admitted to hospital or …

… due to COVID-19 have been investigated for the first time in this study. Our results might
be helpful in early prediction and risk reduction of mortality in patients infected with COVID-19. …

… -prediction for covid-19 death (fig 3) and in twentieths 17-19 for the admissions outcome (fig
4). For example, in the top twentieth of predicted risks for covid-19 … predicted risk was 0.25%. …

… We aimed to clarify high-risk factors for coronavirus disease 2019 (COVID-19) with multivariate
analysis and establish a predictive model of disease progression to help clinicians better …

… of COVID-19 continues to increase. Here, we present a mortality risk prediction model for
COVID-19 … patients by mortality risk, which enables prediction of physiological deterioration and …

… The main contribution of the paper is to identify the risk factors for mortality at admission of
COVID-19 patients and to build a multivariable Machine Learning model which would help in …