A LR model was successfully developed through ML to forecast NRF phenomena in STEMI patients undergoing pPCI. A web-based application derived from the LR model facilitates clinical implementation.
Keyphrases
- st segment elevation myocardial infarction
- percutaneous coronary intervention
- st elevation myocardial infarction
- acute coronary syndrome
- acute myocardial infarction
- machine learning
- patients undergoing
- coronary artery disease
- antiplatelet therapy
- coronary artery bypass grafting
- oxidative stress
- atrial fibrillation
- primary care
- healthcare
- coronary artery bypass
- heart failure
- artificial intelligence
- big data
- quality improvement