… This study aimed to develop a mortality risk prediction model for COVID-19 based on ML
algorithms that utilize patients’ routine clinical data. We are mostly looking for the following …

… Early prediction of patient mortality risks during a pandemic can decrease mortality by … This
study aimed to develop and compare prognosis prediction machine learning models based …

… Similar findings were found in this study where increased CRP rates were measured at
admission for the high mortality risk COVID-19 patients. This indicated that these patients …

… mortality of COVID-19 continues to increase. Here, we present a mortality risk prediction model
for COVID-19 (… admission to stratify patients by mortality risk, which enables prediction of …

… In the current study, machine learning algorithms were applied to predict hospital mortality
… , and biochemical markers of patients with COVID-19. The two-component SIMPLS-based …

… 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 …

… number of publications on COVID-19-related applications of … COVID-19. We focus on the
potential of ML for two main applications: diagnosis of COVID-19 and prediction of mortality risk …

… dataset of COVID-19 confirmed cases collected from all around the world, and used state
of the art machine learning algorithms to predict the mortality rate for patients with COVID-19. …

… reducing the mortality risk and fatality rate. … COVID-19 patients’ outcomes. In this study, we
aimed to develop a clinical model to predict the mortality risk of patients with severe COVID-19 …

… A risk level prediction model for COVID-19 mortality was developed in this … a risk level to
predict COVID-19 related mortality rather than a binary classification prediction because a risk …