Health professionals are encouraged to take the ESC/EACTS Guidelines fully into account
when exercising their clinical judgment, as well as in the determination and the …

731 F. Beyersdorf and A. Vahanian et al./European Journal of Cardio-Thoracic Surgery
guidelines, which is freely available via the ESC and EACTS website and hosted on the EHJ …

Cardiovascular diseases (CVD) affect 60% of people over 60 years of age and are one of
the main causes of death in the world. Diagnosed cardiovascular disease also triples the …

Objective: We aimed to construct and validate several machine learning (ML) algorithms to
predict long-term mortality and identify risk factors in unselected patients post-cardiac …

OBJECTIVES Interest in the clinical usefulness of machine learning for risk prediction has
bloomed recently. Cardiac surgery patients are at high risk of complications and therefore …

Background: The Society of Thoracic Surgeons and European System for Cardiac Operative
Risk Evaluation (EuroSCORE) II risk scores are the most commonly used risk prediction …

Background We developed machine learning models that combine preoperative and
intraoperative risk factors to predict mortality after cardiac surgery. Methods Machine …

Abstract The True Infection Rate (TIR) in the whole population of each country and the
Infection Fatality Rate (IFR) for coronavirus disease 2019 (COVID-19) are unknown although …

OBJECTIVES The most used mortality risk prediction models in cardiac surgery are the
European System for Cardiac Operative Risk Evaluation (ES) and Society of Thoracic …

Background To determine the discriminative accuracy and calibration of EuroSCORE II in
relation to age, sex, and surgical risk in a large nationwide coronary artery bypass grafting …