MoganaD/Machine-Learning-on-Breast-Cancer-Survival-Prediction

We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipeline for researcher who are interested to conduct studies on survival prediction of any type of cancers using multi model data.

语言：R · GitHub 星标：19 · Fork：8

话题：breast-cancer-prediction · cancer-data · decision-trees · machine-learning · prediction-model · survival-analysis · variable-importance

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