Machine learning for prediction of bleeding in acute myocardial infarction patients after percutaneous coronary intervention

• Egile Nagusiak: Xueyan Zhao (Egilea), Junmei Wang (Egilea), Jingang Yang (Egilea), Tiange Chen (Egilea), Yanan Song (Egilea), Xiang Li (Egilea), Guotong Xie (Egilea), Xiaojin Gao (Egilea), Haiyan Xu (Egilea), Runlin Gao (Egilea), Jinqing Yuan (Egilea), Yuejin Yang (Egilea)
• Formatua: Liburua
• Argitaratua: SAGE Publishing, 2023-03-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

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...