Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention
Background: The machine learning algorithm (MLA) was implemented to establish an optimal model to predict the no reflow (NR) process and in-hospital death that occurred in ST-elevation myocardial infarction (STEMI) patients who underwent primary percutaneous coronary intervention (pPCI). Methods: Th...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |