Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis.

Background: An appropriate prediction model for adverse prognosis before peritoneal dialysis (PD) is lacking. Thus, we retrospectively analysed patients who underwent PD to construct a predictive model for adverse prognoses using machine learning (ML).

Methods: A retrospective analysis was conducted on 873 patients who underwent PD from August 2007 to December 2020.