Application of Machine Learning Methods for Determining the Stage of Cancer

The paper covers the analysis of standards for the registration of patients with cancerous. The eighth revision of the international TNM system for determining the stage of the breast and skin cancer is presented. The paper presents the results of conducted researches, on the base created regression models with machine learning methods for determine the stage of cancerous the breast, skin, bronchus and lung. In the present studies are used three methods of machine learning - Decision Tree(DT), Support Vector Machine(SVM) and Ensemble Algorithms(EA). The models were compared and evaluated using the Root Mean Squared Error(RMSE), Mean Absolute Error(MAE), Mean Squared Error(MSE), and coefficient of determination.