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
- risk factors
- coronary artery disease
- minimally invasive
- newly diagnosed
- chronic kidney disease
- coronary artery bypass grafting
- ejection fraction
- coronary artery
- palliative care
- peritoneal dialysis
- prognostic factors
- heart failure
- percutaneous coronary intervention
- artificial intelligence
- patient reported outcomes
- acute coronary syndrome
- patient reported
- aortic valve
- surgical site infection