Machine learning in risk prediction of continuous renal replacement therapy after coronary artery bypass grafting surgery in patients

ConclusionsMachine 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.

http://link.springer.com/10.1007/s10157-024-02472-z

Source: Clinical and Experimental Nephrology - March 27, 2024 Category: Urology & Nephrology Source Type: research