Cardiovascular diseases have been identified as one of the top three causes of death
worldwide, with onset and deaths mostly due to heart failure (HF). In ICU, where patients …

Machine learning, deep learning, and artificial intelligence are terms that have made their
way into nearly all areas of medicine. Whereas these methods have accelerated progress in …

COVID-19 is responsible for high mortality, but robust machine learning-based predictors of
mortality are lacking. To generate a model for predicting mortality in patients hospitalized …

Background Hyperparathyroidism poses significant risks for patients prior to kidney
transplantation. However, the outcomes of patients who undergo parathyroidectomy before …

This work focuses on the problem of mortality prediction in patients with pneumonia after
admission into an intensive care unit, by addressing it via logistic regression. This approach …

When a patient is admitted to the hospital, they undergo monitoring and a variety of data is
collected. The continuous stream of clinical and analytical data provides a wealth of …

1 Introduction A novel outbreak of coronavirus emerged in Wuhan, China on December 31,
2019, and was referred to as 2019-nCoV or COVID-19, causing great concern among the …

There are still many important obstacles that make evaluating COVID-19 as a pandemic
difficult. Utilising all of the tools and resources available in the field is essential to …