Machine learning-based prediction of 1-year mortality in hypertensive patients undergoing coronary revascularization surgery.
Amir Hossein BehnoushAmirmohammad KhalajiMalihe RezaeeShahram MomtahenSoheil MansourianJamshid BagheriFarzad MasoudkabirKaveh HosseiniPublished in: Clinical cardiology (2023)
All ML models had excellent performance in predicting 1-year mortality among CABG hypertension patients, while LR was the best regarding AUC. These models can help clinicians assess the risk of mortality in specific subgroups at higher risk (such as hypertensive ones).
Keyphrases
- cardiovascular disease
- cardiovascular events
- blood pressure
- machine learning
- patients undergoing
- end stage renal disease
- coronary artery disease
- chronic kidney disease
- ejection fraction
- coronary artery bypass grafting
- coronary artery bypass
- minimally invasive
- risk factors
- newly diagnosed
- prognostic factors
- percutaneous coronary intervention
- peritoneal dialysis
- heart failure
- big data
- aortic stenosis
- aortic valve