Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …

Traditional surgical outcome measures include minor and major complications, hospital
length of stay and sometimes longer‐term survival. Each of these is important but there …

The purpose of this update of the European Society of Anaesthesiology (ESA) guidelines on
the pre-operative evaluation of the adult undergoing noncardiac surgery is to present …

The majority of the studies on credit risk assessment models for financial institutions during
recent years focus on the improvement of imbalanced data or on the enhancement of …

Background Machine-learning classifiers mostly offer good predictive performance and are
increasingly used to support shared decision-making in clinical practice. Focusing on …

Rethinking Patient Surveillance on Hospital Wards | Anesthesiology | American Society of
Anesthesiologists Skip to Main Content Advertisement Umbrella Alt Text Umbrella Alt Text Close …

The field of patient-centred healthcare has, during recent years, adopted machine learning
and data science techniques to support clinical decision making and improve patient …

Background. A simple and accurate scoring system to predict risk of transfusion for patients
undergoing cardiac surgery is lacking. We conducted a retrospective analysis of data …

Background Cardiopulmonary exercise testing (CPET) is an exercise stress test with
concomitant expired gas analysis that provides an objective, non-invasive measure of …

Background Elevated high-sensitivity troponin (hsTnT) after noncardiac surgery is
associated with higher mortality, but the temporal relationship between early elevated …