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Diagnosis prognosis and prevention of breast cancer based on present scenario of human life

Statistics of standard health organizations shows that the breast cancer is subsequently a critical setback to the human that creates more death rates. Early diagnosis of any health problem may heal the crisis quickly. In this research study the breast cancer analysis performed with fifteen attributes that reflect the present scenario of human life. The K-means clustering algorithm and the decision tree mechanisms are used in this study and the analysis is focused on finding the precision, recall, accuracy and the F-measure. The RMSE, mSe and Kappa statistic values estimated through this study is less than one and proves that the attributes focused in this study must be carefully maintained in specified levels to prevent the breast cancer and to increase the human life time after breast cancer.