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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

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. 4

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 (e.g., NNET, SVM, and CTREE). AUC, area under the curve; CTREE, Decision Tree; NNET, Neural Network Algorithm; RAN, random forest; SVM, Support Vector Machine

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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