Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study.
Jinwan WangShuai WangMark Xuefang ZhuTao YangQing-Feng YinYa HouPublished in: JMIR medical informatics (2022)
The machine learning risk models constructed in this study can achieve acceptable performance of MACE prediction, with XGBoost performing the best, providing a valuable reference for pointed intervention and clinical decision-making in MACE prevention.
Keyphrases
- machine learning
- cardiovascular events
- coronary artery disease
- randomized controlled trial
- cardiovascular disease
- coronary artery
- risk assessment
- artificial intelligence
- type diabetes
- heart failure
- percutaneous coronary intervention
- big data
- deep learning
- atrial fibrillation
- coronary artery bypass grafting
- drug induced