Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods

Predictive models for delayed graft function (DGF) after kidney transplantation are usually developed using logistic regression. We want to evaluate the value of machine learning methods in the prediction of DGF.