Using machine learning to predict adverse events in acute coronary syndrome: A retrospective study.
Long SongYuan LiShanshan NieZeying FengYaxin LiuFangfang DingLiying GongLiming LiuGuo-Ping YangPublished in: Clinical cardiology (2023)
The LDA model, using easily accessible variables from in-hospital patients, showed the potential to effectively predict the risk of adverse events and mortality within 1 year in ACS patients after PCI.
Keyphrases
- acute coronary syndrome
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- percutaneous coronary intervention
- coronary artery disease
- type diabetes
- emergency department
- patient reported
- left ventricular
- st segment elevation myocardial infarction