Survival of Dialysis Patients Using Random Survival Forest Model in Low-Dimensional Data with Few-Events

Survival of Dialysis Patients Using Random Survival Forest Model in Low-Dimensional Data with Few-Events

Background:Dialysis is a process for eliminating extra uremic fluids of patients with chronic renal failure. The present study aimed to determine the variables that influence the survival of dialysis patients using random survival forest model (RSFM) in low-dimensional data with low events per varia...

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Bibliographic Details
Main Authors: Shideh Rafati, Mohammad Reza Baneshi, Laleh Hassani, Abbas Bahrampour
Format: Article
Language:English
Published: Kerman University of Medical Sciences 2019-11-01
Series:Journal of Kerman University of Medical Sciences
Subjects:
end stage renal disease
dialysis
random survival forest model
events per variable
Online Access:https://jkmu.kmu.ac.ir/article_89574_c3c968637b19b5ed5d365e3a56d90f06.pdf

Internet

https://jkmu.kmu.ac.ir/article_89574_c3c968637b19b5ed5d365e3a56d90f06.pdf

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