Predicting kidney transplant survival using tree-based modeling.

@article{Krikov2007PredictingKT,
  title={Predicting kidney transplant survival using tree-based modeling.},
  author={Sergey V. Krikov and Altaf Khan and Bradley C Baird and Lev L Barenbaum and Alexander Leviatov and James K Koford and Alexander S. Goldfarb-Rumyantzev},
  journal={ASAIO journal},
  year={2007},
  volume={53 5},
  pages={592-600}
}
Predicting the outcome of kidney transplantation is clinically important and computationally challenging. The goal of this project was to develop the models predicting probability of kidney allograft survival at 1, 3, 5, 7, and 10 years. Kidney transplant data from the United States Renal Data System (January 1, 1990, to December 31, 1999, with the follow-up through December 31, 2000) were used (n = 92,844). Independent variables included recipient demographic and anthropometric data, end-stage… CONTINUE READING

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