Using machine learning and an ensemble of methods to predict kidney transplant survival-Reference-Cited by-同舟云学术

Using machine learning and an ensemble of methods to predict kidney transplant survival

Published:2019-01-09 Issue:1 Volume:14 Page:e0209068
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Mark Ethan^ORCID,Goldsman David,Gurbaxani Brian,Keskinocak Pinar^ORCID,Sokol Joel

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference30 articles.

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3. A recipient risk score for deceased donor renal allocation;ES Baskin-Bey;Am J Kidney Dis,2007

4. Predictability of survival models for waiting list and transplant patients: calculating LYFT;RA Wolfe;Am J Transplant,2009

5. Regression models and life-tables;DR Cox;J R Stat Soc Series B Stat Methodol,1972

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