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 pipe…

Breast Cancer Prediction using fuzzy clustering and classification

Breast Cancer Diagnostic - Machine Learning Classification

Classificação de dados a partir da malignidade ou não do tumor e recorrência do câncer de mama. Implementação dos algoritmos KNN e árvore de decisão.

Built a KNN model to predict breast cancer using R

This repository contains an R script for performing survival analysis on breast cancer surgery data from the University of Chicago's Billings Hospital. The analysis includes Kaplan-Meier estimation and Cox Proportional Hazards modeling to assess patient survival.

This project used machine learning models to detect cancer in biopsies with an accuracy of 98%

Wisconsin Breast Cancer Prediction Model Comparison