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
- newly diagnosed
- chronic kidney disease
- minimally invasive
- prognostic factors
- peritoneal dialysis
- acute kidney injury
- coronary artery disease
- intensive care unit
- cardiac surgery
- percutaneous coronary intervention
- artificial intelligence
- deep learning
- big data
- acute coronary syndrome
- mechanical ventilation