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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
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

Internet

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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