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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

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. 1

Schematic workflow for AI. The AI method to predict NR and in-hospital mortality included feature selection, training, and testing split, which combined four different model algorithms (e.g., RAN, NNET, SVM, and CTREE). Random sampling was conducted 10 times, and the results were averaged. AI, artificial intelligence; 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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