… feasible machine-learning algorithm to stratify the mortality risk in a sample of patients
admitted to a COVID-19 referral center in the Veneto region, Italy, during the first COVID-19 wave. …

… In the wake of COVID-19 disease, caused by the … Intelligence (AI) and Machine Learning
algorithms to determine the health risk and predict the mortality risk of patients with COVID-19. …

… ML algorithms are used to develop prognostic and diagnostic models and so to support …
ML algorithms to predict the need for intensive care, intubation, and mortality risk for COVID-19 …

… individuals at high risk of COVID-19 mortality, a major gap remains in the design of state-of-the-art
interpretable machine learning-based algorithms and high-performance quantitative …

… 19 . Thus, CT-SS might improve the prognostic performances of the ML algorithms for mortality
prediction of COVID-19 … model for mortality prediction of COVID-19 patients based on a …

… We highlight the value of utilizing a machine learning DT algorithm in the ICU at the time of
… ICU mortality in COVID-19 adults admitted to the ICU using a machine learning DT algorithm. …

… a machine learning experiment to assess the effects of vaccination on the fatality rate of the
COVID-19 … This new algorithm selected two targets: the number of deaths and the fatality rate. …

… machine learning algorithm family. For example, in Figure 4, all models determined that
percent mortality … Similarly, all models determined that percent mortality increased with glucose …

… In this study, we applied machine learning algorithms to develop prognostic models for
predicting mortality in confirmed cases of COVID-19. All models performed well in the overall …

… ML-based algorithms to generate a mortality prediction model for hospitalized COVID-19
patients as … In the current study, machine learning algorithms were applied to predict hospital …