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
- coronary artery disease
- end stage renal disease
- risk factors
- coronary artery bypass grafting
- newly diagnosed
- coronary artery bypass
- ejection fraction
- minimally invasive
- coronary artery
- palliative care
- percutaneous coronary intervention
- type diabetes
- prognostic factors
- heart failure
- left ventricular
- deep learning
- patient reported outcomes