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 …

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

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 …

Machine Learning Methods for Prediction of Hospital Mortality in Patients with Coronary Heart
Disease after Coronary Artery Bypass Grafting | Geltser | Kardiologiia Kardiologiia Kardiologiia …

Background Machine learning (ML) has shown promising results in all fields of medicine,
including preventive cardiology. Hypertensive patients are at higher risk of mortality after …

OBJECTIVES To perform a systematic comparison of in-hospital mortality risk prediction post-
cardiac surgery, between the predominant scoring system—European System for Cardiac …

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

Coronary artery bypass surgery grafting (CABG) is a commonly efficient treatment for
coronary artery disease patients. Even if we know the underlying disease, and advancing …

Purpose: Neural networks (NNs) have received a great deal of attention over the last few
years. They are being used for prediction and classification areas where regression models …