Corpus ID: 5998668

Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors

@article{Yoon2017PersonalizedSP,
  title={Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors},
  author={Jinsung Yoon and W. Zame and A. Banerjee and M. Cadeiras and A. Alaa and M. V. D. Schaar},
  journal={ArXiv},
  year={2017},
  volume={abs/1704.03458}
}
  • Jinsung Yoon, W. Zame, +3 authors M. V. D. Schaar
  • Published 2017
  • Mathematics, Computer Science
  • ArXiv
  • Given the limited pool of donor organs, accurate predictions of survival on the wait list and post transplantation are crucial for cardiac transplantation decisions and policy. However, current clinical risk scores do not yield accurate predictions. We develop a new methodology (ToPs, Trees of Predictors) built on the principle that specific predictors should be used for specific clusters within the target population. ToPs discovers these specific clusters of patients and the specific predictor… CONTINUE READING

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