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Machine learning for prediction of bleeding in acute myocardial infarction patients after percutaneous coronary intervention
BACKGROUND: Prediction of bleeding is critical for acute myocardial infarction (AMI) patients after percutaneous coronary intervention (PCI). Machine learning methods can automatically select the combination of the important features and learn their underlying relationship with the outcome. OBJECTIV...
Autores principales: | Zhao, Xueyan, Wang, Junmei, Yang, Jingang, Chen, Tiange, Song, Yanan, Li, Xiang, Xie, Guotong, Gao, Xiaojin, Xu, Haiyan, Gao, Runlin, Yuan, Jinqing, Yang, Yuejin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989398/ https://www.ncbi.nlm.nih.gov/pubmed/36895330 http://dx.doi.org/10.1177/20406223231158561 |
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