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
- blood pressure
- cardiovascular events
- machine learning
- patients undergoing
- end stage renal disease
- coronary artery disease
- risk factors
- coronary artery bypass grafting
- coronary artery bypass
- minimally invasive
- ejection fraction
- newly diagnosed
- coronary artery
- prognostic factors
- peritoneal dialysis
- cardiovascular disease
- heart failure
- percutaneous coronary intervention
- left ventricular
- patient reported
- surgical site infection