Alexander Decruyenaere

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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)
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