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On the use of Harrell's C for clinical risk prediction via random
  survival forests

On the use of Harrell's C for clinical risk prediction via random survival forests

11 July 2015
M. Schmid
Marvin N. Wright
A. Ziegler
ArXivPDFHTML

Papers citing "On the use of Harrell's C for clinical risk prediction via random survival forests"

6 / 6 papers shown
Title
SurvBeX: An explanation method of the machine learning survival models
  based on the Beran estimator
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
Lev V. Utkin
Danila Eremenko
A. Konstantinov
30
4
0
07 Aug 2023
Predicting Survival Outcomes in the Presence of Unlabeled Data
Predicting Survival Outcomes in the Presence of Unlabeled Data
Fateme Nateghi Haredasht
C. Vens
9
6
0
25 Oct 2022
Explainable Censored Learning: Finding Critical Features with Long Term
  Prognostic Values for Survival Prediction
Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction
Xinxing Wu
Chong Peng
R. Charnigo
Q. Cheng
25
3
0
30 Sep 2022
Applying Machine Learning to Life Insurance: some knowledge sharing to
  master it
Applying Machine Learning to Life Insurance: some knowledge sharing to master it
Antoine Chancel
L. Bradier
Antoine Ly
R. Ionescu
Laurene Martin
Marguerite Sauce
11
1
0
05 Sep 2022
A weighted random survival forest
A weighted random survival forest
Lev V. Utkin
A. Konstantinov
V. Chukanov
M. V. Kots
M. Ryabinin
A. Meldo
9
40
0
01 Jan 2019
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,732
0
18 Aug 2015
1