Objectives: Machine learning models used to predict postoperative mortality rarely include
intraoperative factors. Several intraoperative factors like hypotension (IOH), vasopressor …

According to world health organization, cardiovascular diseases are the number one cause
of death globally and most of them can be prevented by addressing risk factors such as …

This study aimed at assessing the performance of three external risk-adjusted models–
logistic EuroSCORE, Parsonnet score and Ontario Province Risk (OPR) score–in predicting …

With recent innovation in computer database technology, voluminous data related to cardiac
surgery are easily stored and made available for further analysis. However, these large …

This study is designed to assess the application of neural networks in comparison to the
Kaplan-Meier and Cox proportional hazards model in the survival analysis. Three hundred …

Introduction: To determine predictors of length of stay (LOS) in the intensive care unit (ICU)
after coronary artery bypass grafting (CABG) and to develop a risk scoring system were the …

Aim: The aim of this study is to develop a predictive classification model that can identify risk
factors for heart attack disease. Materials and Methods: In the study, patients with low and …

Coronary artery bypass grafting (CABG) is a typical surgical procedure for treating coronary
heart disease by using autologous arteries or veins as grafts to bypass coronary arteries …

Most established severity-of-illness systems used for prediction of intensive care unit (ICU)
mortality were developed targeted at the general ICU population, based on logistic …