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

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

BACKGROUND 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. METHODS 497 kidney transplantations from deceased donors at the Ghent University Hospital between 2005 and 2011 are included. A feature elimination procedure is applied to...

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Predictive Values of Urinary Interleukin 18 and Neutrophil Gelatinase-Associated Lipocalin for Delayed Graft Function Diagnosis in Kidney Transplantation

Background: Delayed graft function is a main complication after deceased donor kidney transplantation that adversely affects graft outcome. Difficulties in prediction and early detection of delayed graft function have hindered the ability to perform proper therapeutic interventions. We investigated whether measuring urinary interleukin 18 and neutrophi...

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Delayed graft function, allograft and patient srvival in kidney transplantation.

INTRODUCTION Delayed Graft Function (DGF) is a common complication of renal transplants and the long-term relation between DGF and survival of patients and grafts is not well established. METHODS This is a historical cohort study of transplanted patients in Taleghani Hospital of Shahid Beheshti University in Iran between 1994 and 2010. Patients who required dialysis during the first week afte...

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Impact of delayed graft function on renal function and graft survival in deceased kidney transplantation.

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ژورنال

عنوان ژورنال: BMC Medical Informatics and Decision Making

سال: 2015

ISSN: 1472-6947

DOI: 10.1186/s12911-015-0206-y