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Review
. 2020 May;104(5):905-906.
doi: 10.1097/TP.0000000000002923.

Seeing the Forest for the Trees: Random Forest Models for Predicting Survival in Kidney Transplant Recipients

Ruth Sapir-Pichhadze  1   2 , Bruce Kaplan  3
Affiliations
Review

Seeing the Forest for the Trees: Random Forest Models for Predicting Survival in Kidney Transplant Recipients

Ruth Sapir-Pichhadze et al. Transplantation. 2020 May.
No abstract available

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References

    1. Harrell FE. Regression Modeling Strategies2001New YorkSpringer;
    1. Strobl C, Malley J, Tutz G. An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.Psychol Methods200914323–348
    1. Ho DSW, Schierding W, Wake M, et al. Machine learning SNP based prediction for precision medicine.Front Genet201910267
    1. Breiamn L. Random forests.Machine Learning2001455–32
    1. Scheffner I, Gietzelt M, Abeling T, et al. Patient survival after kidney transplantation: important role of graft-sustaining factors as determined by predictive modeling using random survival forest analysis.TransplantationIn press

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