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Predictive modeling of delayed graft function after kidney transplantation using machine learning methods

Alexander Decruyenaere (UGent) , Philippe Decruyenaere (UGent) , Frank Vermassen (UGent) , Patrick Peeters (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)
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Chicago
Decruyenaere, Alexander, Philippe Decruyenaere, Frank Vermassen, PATRICK PEETERS, Tom Dhaene, and Ivo Couckuyt. 2015. “Predictive Modeling of Delayed Graft Function After Kidney Transplantation Using Machine Learning Methods.” In Nephrology Dialysis Transplantation. Vol. 30.
APA
Decruyenaere, A., Decruyenaere, P., Vermassen, F., PEETERS, P., Dhaene, T., & Couckuyt, I. (2015). Predictive modeling of delayed graft function after kidney transplantation using machine learning methods. NEPHROLOGY DIALYSIS TRANSPLANTATION (Vol. 30). Presented at the 52nd Congress of the European Renal Association-European Dialysis and Transplant Assocation (ERA-EDTA).
Vancouver
1.
Decruyenaere A, Decruyenaere P, Vermassen F, PEETERS P, Dhaene T, Couckuyt I. Predictive modeling of delayed graft function after kidney transplantation using machine learning methods. NEPHROLOGY DIALYSIS TRANSPLANTATION. 2015.
MLA
Decruyenaere, Alexander, Philippe Decruyenaere, Frank Vermassen, et al. “Predictive Modeling of Delayed Graft Function After Kidney Transplantation Using Machine Learning Methods.” Nephrology Dialysis Transplantation. Vol. 30. 2015. Print.
@inproceedings{6850502,
  articleno    = {abstract SP787},
  author       = {Decruyenaere, Alexander and Decruyenaere, Philippe and Vermassen, Frank and Peeters, Patrick and Dhaene, Tom and Couckuyt, Ivo},
  booktitle    = {NEPHROLOGY DIALYSIS TRANSPLANTATION},
  issn         = {0931-0509},
  language     = {eng},
  location     = {London, UK},
  number       = {suppl. 3},
  title        = {Predictive modeling of delayed graft function after kidney transplantation using machine learning methods},
  url          = {http://dx.doi.org/10.1093/ndt/gfv202.13},
  volume       = {30},
  year         = {2015},
}

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