Machine learning for prediction of bleeding in acute myocardial infarction patients after percutaneous coronary intervention.
Xueyan ZhaoJunmei WangJingang YangTiange ChenYanan SongXiang LiGuotong XieXiaojin GaoHaiyan XuRunlin GaoJin-Qing YuanYuejin YangPublished in: Therapeutic advances in chronic disease (2023)
NCT01874691. Registered 11 Jun 2013.
Keyphrases
- acute myocardial infarction
- percutaneous coronary intervention
- machine learning
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- acute coronary syndrome
- coronary artery disease
- st segment elevation myocardial infarction
- atrial fibrillation
- peritoneal dialysis
- prognostic factors
- st elevation myocardial infarction
- coronary artery bypass grafting
- artificial intelligence
- patient reported outcomes
- big data
- patient reported