Diabetes intensive care unit (ICU) patients are at increased risk of complications leading to
in-hospital mortality. Assessing the likelihood of death is a challenging and time-consuming …

Abstract Background Intensive Care Unit (ICU) readmissions in patients with heart failure
(HF) result in a significant risk of death and financial burden for patients and healthcare …

Acute hospital care as performed in the intensive care unit (ICU) is characterized by its
frequent, but short-term interventions for patients who are severely ill. Because clinicians …

Extensive monitoring in intensive care units (ICUs) generates large quantities of data which
contain numerous trends that are difficult for clinicians to systematically evaluate. Current …

Clinical study found that early detection and intervention are essential for preventing clinical
deterioration in patients, for patients both in intensive care units (ICU) as well as in general …

Summary Background Intensive-care units (ICUs) treat the most critically ill patients, which is
complicated by the heterogeneity of the diseases that they encounter. Severity scores based …

Background Many mortality prediction models have been developed for patients in intensive
care units (ICUs); most are based on data available at ICU admission. We investigated …

Machine learning approaches have been effective in predicting adverse outcomes in
different clinical settings. These models are often developed and evaluated on datasets with …

Background Patients who are readmitted to an intensive care unit (ICU) usually have a high
risk of mortality and an increased length of stay. ICU readmission risk prediction may help …

Background Mortality prediction of hospitalized patients is an important problem. Over the
past few decades, several severity scoring systems and machine learning mortality …