Background Experiencing a hyperglycaemic crisis is associated with a short-and long-term
increased risk of mortality. We aimed to develop an explainable machine learning model for …

Background A real-time model for predicting short-term mortality in critically ill patients is
needed to identify patients at imminent risk. However, the performance of the model needs …

Objectives: To propose the optimal timing to consider tracheostomy insertion for weaning of
mechanically ventilated patients recovering from coronavirus disease 2019 pneumonia. We …

Heterogeneity is a pervasive feature of critical illness syndromes. Patients in the intensive
care unit (ICU) are injured or develop critical illness for a plethora of reasons. On any given …

Background: Accurate prediction of the mortality of post-liver transplantation is an important
but challenging task. It relates to optimizing organ allocation and estimating the risk of …

An increasing number of COVID‐19 cases worldwide has overwhelmed the healthcare
system. Physicians are struggling to allocate resources and to focus their attention on high …

Background: Sepsis is a leading cause of death in patients with trauma, and the risk of
mortality increases significantly for each hour of delay in treatment. A hypermetabolic …

Most established severity-of-illness systems used for prediction of intensive care unit (ICU)
mortality were developed targeted at the general ICU population, based on logistic …

Objective Conventional prediction models fail to integrate the constantly evolving nature of
critical illness. Alternative modelling approaches to study dynamic changes in critical illness …

Background Liver transplantation is the life‐saving treatment for many end‐stage pediatric
liver diseases. The perioperative course, including surgical and anesthetic factors, have an …