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Machine learning methods to predict delayed graft function after kidney transplantation

Alexander Decruyenaere (UGent) , Philippe Decruyenaere (UGent) , Frank Vermassen (UGent) , Patrick Peeters (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)
(2015) TRANSPLANT INTERNATIONAL. 28(suppl. 4). p.244-244
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Citation

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Chicago
Decruyenaere, Alexander, Philippe Decruyenaere, Frank Vermassen, PATRICK PEETERS, Tom Dhaene, and Ivo Couckuyt. 2015. “Machine Learning Methods to Predict Delayed Graft Function After Kidney Transplantation.” In Transplant International, 28:244–244.
APA
Decruyenaere, A., Decruyenaere, P., Vermassen, F., PEETERS, P., Dhaene, T., & Couckuyt, I. (2015). Machine learning methods to predict delayed graft function after kidney transplantation. TRANSPLANT INTERNATIONAL (Vol. 28, pp. 244–244). Presented at the 17th Congress of the European Society for Organ Transplantation (ESOT).
Vancouver
1.
Decruyenaere A, Decruyenaere P, Vermassen F, PEETERS P, Dhaene T, Couckuyt I. Machine learning methods to predict delayed graft function after kidney transplantation. TRANSPLANT INTERNATIONAL. 2015. p. 244–244.
MLA
Decruyenaere, Alexander, Philippe Decruyenaere, Frank Vermassen, et al. “Machine Learning Methods to Predict Delayed Graft Function After Kidney Transplantation.” Transplant International. Vol. 28. 2015. 244–244. Print.
@inproceedings{6973999,
  articleno    = {abstract BO338},
  author       = {Decruyenaere, Alexander and Decruyenaere, Philippe and Vermassen, Frank and Peeters, Patrick and Dhaene, Tom and Couckuyt, Ivo},
  booktitle    = {TRANSPLANT INTERNATIONAL},
  issn         = {0934-0874},
  language     = {eng},
  location     = {Brussels, Belgium},
  number       = {suppl. 4},
  pages        = {abstract BO338:244--abstract BO338:244},
  title        = {Machine learning methods to predict delayed graft function after kidney transplantation},
  volume       = {28},
  year         = {2015},
}

Web of Science
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