/Tutorial-Machine-Learning-Based-Survival-Analysis

This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.

Primary LanguageJupyter Notebook

Tutorial-Machine-Learning-Based-Survival-Analysis

This repository is tutorial about survival analysis(SA) based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.

Follows have been implemented(Recent update: 2018.12.06):

Tutorial Dependent R packages R-Documentation
Random Forest-based randomForestSRC docs
Gradient Boosting Tree-based GBM docs
XGBoost-Based XGBoost docs