Aim: We developed a machine learning model using EuroScore assumptions and
preoperative and intraoperative risk factors to predict mortality after coronary artery bypass …

Background The benefits of cardiac surgery are sometimes difficult to predict and the
decision to operate on a given individual is complex. Machine Learning and Decision Curve …

Abstract Coronary Artery Bypass Graft (CABG) surgery is the most common cardiac
operation and its complications are associated with increased long-term mortality rates …

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

Background: As the era of big data analytics unfolds, machine learning (ML) might be a
promising tool for predicting clinical outcomes. This study aimed to evaluate the predictive …

Background The aim of this study was to develop a new risk prediction score (NH Score) for
patients undergoing coronary artery bypass grafting (CABG) specific to the Indian population …

Abstract Background: Coronary Artery Bypass Surgery (CABG) is an effective and important
treatment for patients with coronary artery disease. Nowadays, there is more interest in …

Abstract Background and Objective: Machine learning (ML) has excelled after being
introduced into the medical field. Ensemble ML models were able to integrate the …

Background Machine learning is a useful tool for predicting medical outcomes. This study
aimed to develop a machine learning–based preoperative score to predict cardiac surgical …

Background The risk prediction of in-hospital death after cardiac surgery still has important
gaps. In this scenario, the computational tools and advanced math modeling, as the artificial …