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https://github.com/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.
https://github.com/MoganaD/Machine-Learning-on-Breast-Cancer-Survival-Prediction
breast-cancer-prediction cancer-data decision-trees machine-learning prediction-model survival-analysis variable-importance
Last synced: about 1 month ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/MoganaD/Machine-Learning-on-Breast-Cancer-Survival-Prediction
- Owner: MoganaD
- Created: 2018-09-03T02:05:46.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-11-01T06:57:59.000Z (over 3 years ago)
- Last Synced: 2024-02-16T21:31:06.019Z (5 months ago)
- Topics: breast-cancer-prediction, cancer-data, decision-trees, machine-learning, prediction-model, survival-analysis, variable-importance
- Language: R
- Homepage:
- Size: 253 KB
- Stars: 9
- Watchers: 1
- Forks: 7
- Open Issues: 0
Lists
- awesome-ai-cancer - MoganaD/Machine-Learning-on-Breast-Cancer-Survival-Prediction - Model evaluation, Random Forest further modelling, variable importance, decision tree, and survival analysis in R (Code / Repositories)