Enhancing mortality prediction after coronary artery bypass graft: a machine learning approach utilizing EuroScore
E Hijazi - Future Science OA, 2024 - Taylor & Francis
Aim: We developed a machine learning model using EuroScore assumptions and
preoperative and intraoperative risk factors to predict mortality after coronary artery bypass …
preoperative and intraoperative risk factors to predict mortality after coronary artery bypass …
A comparison of a machine learning model with EuroSCORE II in predicting mortality after elective cardiac surgery: a decision curve analysis
J Allyn, N Allou, P Augustin, I Philip, O Martinet… - PloS one, 2017 - journals.plos.org
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 …
decision to operate on a given individual is complex. Machine Learning and Decision Curve …
Machine learning algorithms for predicting mortality after coronary artery bypass grafting
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 …
promising tool for predicting clinical outcomes. This study aimed to evaluate the predictive …
Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models
JC Forte, MA Wiering, HR Bouma… - Machine Learning …, 2017 - proceedings.mlr.press
Abstract Coronary Artery Bypass Graft (CABG) surgery is the most common cardiac
operation and its complications are associated with increased long-term mortality rates …
operation and its complications are associated with increased long-term mortality rates …
[HTML][HTML] Development of machine learning models for mortality risk prediction after cardiac surgery
Y Fan, J Dong, Y Wu, M Shen, S Zhu, X He… - Cardiovascular …, 2022 - ncbi.nlm.nih.gov
Background We developed machine learning models that combine preoperative and
intraoperative risk factors to predict mortality after cardiac surgery. Methods Machine …
intraoperative risk factors to predict mortality after cardiac surgery. Methods Machine …
Machine learning algorithms for population-specific risk score in coronary artery bypass grafting
AK Swamy, V Rajagopal, D Krishnan… - Asian …, 2023 - journals.sagepub.com
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 …
patients undergoing coronary artery bypass grafting (CABG) specific to the Indian population …
The Clinical Applications of Ensemble Machine Learning Based on the Bagging Strategy for In-Hospital Mortality of Coronary Artery Bypass Grafting Surgery
K Xu, L Shan, Y Bai, Y Shi, M Lv, W Li, H Dai… - Available at SSRN … - papers.ssrn.com
Abstract Background and Objective: Machine learning (ML) has excelled after being
introduced into the medical field. Ensemble ML models were able to integrate the …
introduced into the medical field. Ensemble ML models were able to integrate the …
Is EuroSCORE Model an Appropriate Scale to Estimate the Mortality before the Coronary Bypass Surgery in Iranian Patients?
SMMM Sadeghi, A Etesampour… - Journal of Isfahan …, 2011 - search.ebscohost.com
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 …
treatment for patients with coronary artery disease. Nowadays, there is more interest in …
Cardiac operative risk in Latin America: a comparison of machine learning models vs EuroSCORE-II
RS Molina, MA Molina-Rodríguez, FM Rincón… - The Annals of Thoracic …, 2022 - Elsevier
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 …
aimed to develop a machine learning–based preoperative score to predict cardiac surgical …
Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database
OBJECTIVES To perform a systematic comparison of in-hospital mortality risk prediction post-
cardiac surgery, between the predominant scoring system—European System for Cardiac …
cardiac surgery, between the predominant scoring system—European System for Cardiac …