Purpose The advent of clinically adapted machine learning algorithms can solve numerous
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …

Sepsis is one of the main causes of death in critically ill patients. Despite the continuous
development of medical technology in recent years, its morbidity and mortality are still high …

Optimal performance is desired for decision-making in any field with binary classifiers and
diagnostic tests, however common performance measures lack depth in information. The …

Introduction Septic patients requiring intensive care unit (ICU) readmission are at high risk of
mortality, but research focusing on the association of ICU readmission due to sepsis and …

Objective COVID-19 is a novel, severely contagious disease with enormous negative impact
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …

Background and objectives Sepsis is accompanied by a considerably high risk of mortality in
the short term, despite the availability of recommended mortality risk assessment tools …

Optimal performance is critical for decision-making tasks from medicine to autonomous
driving, however common performance measures may be too general or too specific. For …

Background Early and accurate identification of septic patients at high risk for ICU mortality
can help clinicians make optimal clinical decisions and improve the patients' outcomes. This …

Background Sepsis is a life-threatening condition caused by an abnormal response of the
body to infection and imposes a significant health and economic burden worldwide due to its …

Background Organ dysfunction (OD) assessment is essential in intensive care units (ICUs).
However, current OD assessment scores merely describe the number and the severity of …