Aim of the study This study aims to evaluate supervised machine learning algorithms in
predicting 90 days post-operative mortality in gastrointestinal and HPB surgeries and …

Background Data from over 19,000 patients undergoing open heart surgery were used to
create the European system for cardiac operative risk evaluation (EuroSCORE). This score …

Background The performance of traditional scores is significantly limited to predict mortality
in high-risk cardiac surgery. The aim of this study was to compare the performance of STS …

Aims Preoperative risk assessment is crucial for cardiac surgery. Although previous studies
suggested machine learning (ML) may improve in-hospital mortality predictions after cardiac …

Objective To assess the prognostic accuracy for operative mortality of 4 different risk
stratification models in Chinese patients underwent (coronary artery bypass graft) CABG …

Background Interest in the usefulness of machine learning (ML) methods for outcomes
prediction has continued to increase in recent years. However, the advantage of advanced …

The study by Zheng et al. on 'The Chinese Coronary Artery Bypass Grafting Registry Study:
how well does the EuroSCORE predict operative risk for Chinese population?'has found an …

Introduction Accurate prediction of complications often informs shared decision-making.
Derived over 10 years ago to enhance prediction of intra/post-operative myocardial …

Abstract Background Coronary Artery Bypass Graft (CABG) is one solution to overcome
cardiovascular problems. EuroSCORE II is a scoring system to predict mortality risk in …

Background For risk stratifying patients undergoing coronary artery bypass graft (CABG), the
Society of Thoracic Surgeons (STS) risk score and the European System for Cardiac …