… Similar to their results our machine leaning algorithms found … Compared to Cheng’s study,
our first algorithm predicted the need … mortality predictors in a large cohort of 5,051 COVID-19 …

… machine learning models utilizing sociodemographic characteristics and medical history can
accurately predict the prognosis of COVID-19 … The machine learning algorithms used in this …

… The goal of this study was to develop a deep-learning artificial intelligence algorithm to …
the likelihood of mortality in COVID-19 patients. Based on these deep-learning findings, we …

… may be useful in predicting COVID-19 mortality in the ICU. This study also showed how
beneficial artificial intelligence models may be in predicting COVID-19 mortality in the ICU by …

… Machine learning algorithms and tuning parameters We applied machine learning algorithms
to predict mortality … The following commonly used algorithms in healthcare research were …

… a systematic machine learning framework, we identified a COVID-19 mortality predictor that
… In this study, machine learning algorithms were applied to clinical and demographic data …

… Machine Learning (ML) models to identify COVID-19 patients more likely to be hospitalized
or face a higher mortality … Consequently, we selected the model trained with the GB algorithm …

… of this research is to leverage Machine Learning (ML) on … and practitioners with the treatment
of COVID-19 patients. This is … , mortality, and LOS by applying machine learning algorithms …

… It would be interesting to apply the Machine Learning algorithms used in this paper to a wider
… An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 …

… mortality and LoS of COVID-19 patients with a history of any chronic comorbidities by comparing
the performance of selected ML algorithms … questions concerning COVID-19 in patients …