Machine Learning for Early Prediction of Major Adverse Cardiovascular Events After First Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Retrospective Cohort Study.
Pin ZhangLei WuTing-Ting ZouZiXuan ZouJiaXin TuRen GongJie KuangPublished in: JMIR formative research (2024)
The ANN model showed good MACE prediction after PCI for patients with AMI. The use of machine learning-based prediction models may improve patient management and outcomes in clinical practice.
Keyphrases
- acute myocardial infarction
- percutaneous coronary intervention
- cardiovascular events
- machine learning
- coronary artery disease
- st segment elevation myocardial infarction
- acute coronary syndrome
- st elevation myocardial infarction
- clinical practice
- antiplatelet therapy
- coronary artery bypass grafting
- left ventricular
- artificial intelligence
- cardiovascular disease
- big data
- atrial fibrillation
- heart failure
- emergency department
- deep learning
- case report
- skeletal muscle
- metabolic syndrome
- glycemic control
- neural network