Skip to main content
Fig. 7 | BMC Medical Informatics and Decision Making

Fig. 7

From: Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention

Fig. 7

Model validation between different centers, one center (The Second People's Hospital of Nanning) as a training set and another center (The First People's Hospital of Nanning) as a testing set, ROC curves to predict NR and in-hospital mortality: A a RAN model presented a higher AUC for NR; and B in-hospital mortality prediction than all other models (NNET, SVM, and CTREE). AUC, area under the curve; CTREE, Decision Tree; NNET, Neural Network Algorithm; RAN, random forest; SVM, Support Vector Machine

Back to article page