The aims of this research was to compare different risk score algorithms with regard to their
validity to predict 30-day and one-year mortality after open-heart surgery, to evaluate if the …

Objectives The aim of this study using decision curve analysis (DCA) was to evaluate the
clinical utility of a deep-learning mortality prediction model for cardiac surgery decision …

Introduction European System for Cardiac Operative Risk Evaluation (EuroSCORE) was
developed to identify patients who may have a greater postoperative risk for adverse effects …

BACKGROUND The European system for cardiac operative risk evaluation (EuroSCORE) II
is one of the established risk models used to predict mortality after cardiac surgery …

OBJECTIVES Coronary artery bypass grafting (CABG) is performed for symptoms and for
prognostic reasons. The EuroSCORE is widely utilized as a pre-operative risk prediction …

Accurate prediction of postoperative mortality is important for not only successful
postoperative patient care but also for information-based shared decision-making with …

Objectives Machine learning (ML) classification tools are known to accurately predict many
cardiac surgical outcomes. A novel approach, ML-based survival analysis, remains …

Introduction This study presents a validation series for EuroSCORE II compared with the
previous additive and logistic EuroSCORE and the Society of Thoracic Surgeons risk …

Background: Models have been developed to predict a variety of outcomes, for all cardiac
surgery and also for specific cardiac surgery procedures. The most broadly utilized model for …

Cardiac patients undergoing surgery face increased risk of postoperative complications, due
to a combination of factors, including higher risk surgery, their age at time of surgery and the …