… Interest in the usefulness of machine learning (ML) methods for outcomes prediction has …
between ML models versus LR in predicting operative mortality following cardiac surgery. …

… risk variables and predict mortality after cardiac surgery by using artificial neural networks. …
to develop a method for mortality prediction after cardiac surgery and to identify and rank the …

… and were compared with actual mortality rates. … mortality in cardiac surgery patients. In our
experience, the general severity systems perform well to predict mortality after cardiac surgery, …

… in the prediction of long-term mortality after cardiac surgery: … risk of long-term mortality after
cardiac surgery. These include … The EuroSCORE model was constructed to predict mortality …

… mortality risk prediction models in cardiac surgery are the European System for Cardiac …
ES2 and STS are reliable predictors of short-term mortality following adult cardiac surgery in the …

… the prediction of outcome in cardiac surgical … cardiac surgery patients. Thus, it may serve
as an expert system for diagnosing organ failure and predicting mortality in ICU cardiac surgical …

… The distribution of cardiac surgery procedures in this cohort was … The predicted and observed
mortality of the verification … that our model more accurately predicted mortality as shown in …

… local mortality risk prediction model, compare it with the European System for Cardiac Operative
… Internal validation indicated that it would accurately predict mortality in a future dataset. …

… Among the many scores that have been proposed, the original EuroSCORE, EuroSCORE
II and STS scores are the most widely used to predict mortality after cardiac surgery. However, …

… There have been few prior studies utilizing machine learning approaches to risk prediction
in cardiac surgery. A single-center study involving 6520 patients demonstrated that an …