WHO ARE the LIKELIEST SURVIVORS of BREAST CANCER- An ANALYSIS by K NEAREST NEIGHBORS ALGORITHM?

As deaths caused by breast cancer have become a major concern, researchers are trying to design & implement algorithms so that preventive measures can be adopted in an effective way. Hence, the aim of this study is to improve prediction of survivability of breast cancer with the application of K-nearest neighbors algorithm and its corresponding ensemble version. WEKA software has been used for this analysis. The findings of our study confirm that such approach provides effective prediction from statistical standpoint and thus use of such classification procedure may be adopted, contributing to improved diagnosis in breast cancer.