Machine learning models were developed to predict CRRT. This contributes to the identification of risk variables for CRRT following CABG surgery in ICU patients and enables the optimization of perioperative managements for patients.
Keyphrases
- end stage renal disease
- machine learning
- coronary artery bypass grafting
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- minimally invasive
- coronary artery disease
- acute kidney injury
- intensive care unit
- acute coronary syndrome
- deep learning
- cardiac surgery
- mechanical ventilation