Alexander Decruyenaere

Learn More
BACKGROUND This study compared 22 different definitions of delayed graft function (DGF) following kidney transplantation. MATERIAL AND METHODS Our study included 497 kidney transplantations from deceased donors at our center between 2005 and 2011. Graft survival analysis including log-rank tests and Cox proportional hazards model was performed.(More)
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(More)
BACKGROUND Kidney transplantation is the preferred treatment for patients with end-stage renal disease. Delayed graft function (DGF) is a common complication and is associated with short- and long-term outcomes. Several predictive models for DGF have been developed. MATERIAL AND METHODS 497 kidney transplantations from deceased donors at our center between(More)
  • 1