Predicting kidney allograft survival with explainable machine learning.

Introduction: Despite significant progress over the last decades in the survival of kidney allografts, several risk factors remain contributing to worsening kidney function or even loss of transplants. We aimed to evaluate a new machine learning method to identify these variables which may predict the early graft loss in kidney transplant patients and to assess their usefulness for improving clinical decisions.

Material And Methods: A retrospective cohort study was carried out with 627 kidney transplant patients followed at least three months.