… 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. …

… 2), for COVID-19 prognostic prediction. We have developed an XGBoost machine learning-based
model that can predict the mortality … a reduction of mortality in patients with COVID-19. …

… mortality in patients with the coronavirus disease (COVID-19) pandemic. The purpose of this
study is to determine the differences in serum biomarker levels in adults with COVID-19 who …

… case fatality rate of COVID-19 infection. Based on national data from the China National Health
Center, the COVID-19 … Holistic data covering all of Wuhan, the epicenter city of COVID-19…

… , possibly reducing the mortality risk and … 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 …

… art in ML and DL as applied to COVID mortality prediction. We performed a MEDLINE … covid
survival” (146 results), “machine learning covid mortality” (131 results), “deep learning covid …

… and AR blockers in COVID-19 patients 25 . In our study, however, the use of ACE inhibitors
or AR blockers was not significantly associated with mortality from COVID-19, in agreement …

… Our findings demonstrate that IL6 expression is significant for the prediction of 30-day
mortality in hospitalized COVID19 patients and, therefore, may assist in treatment decisions. …

… severe acute respiratory syndrome coronavirus 2 (SARS… COVID-19 patients early.
MethodsEpidemiological, clinical, and first laboratory findings after admission of 183 severe …

… The COVID-19 pandemic has affected millions of individuals … Predicting mortality among
patients with COVID-19 who present … an accurate prediction model of COVID-19 mortality using …