Article

Machine Learning for Predicting Delayed Graft Function and Graft Survival After Kidney Transplantation: A Systematic Review and Meta-Analysis

2026-08-19

Abstract excerpt

<h4>Background: </h4> /Objectives: Machine-learning (ML) models have been proposed to improve prediction of delayed graft function (DGF) and graft survival after kidney transplantation. Whether they provide better predictive performance than conventional regression remains uncertain. We systematically reviewed prediction models for both outcomes and assessed the quality of the supporting evidence. <h4>Methods:</h4...

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Literature Corpus work: e7f0ca10-fc48-5677-8880-99d7cf0abc64
DOI: 10.20944/preprints202608.1335.v1

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