Prediction of Breast Cancer through Classification Algorithms: A Survey

One of the second leading causes of death for women is the breast cancer, which acts as serious threat to the woman society as the change of climate, urbanization and adoption of fast food culture that increases the occurrence of breast cancer in modern age. The techniques that are available in data mining provide a meaningful contribution to the field of medical diagnostics for the accurate prediction of the disease.Thepredictive analysis techniques of data mining build a knowledge prediction model by analyzing the present history of patients so as to analyze the future data. This paper reviews the results of various classification techniques that have been demonstrated in the research articles from the year 2012 -2016 and makes a comparison between the presented outputs of the earlier works. Moreover, experimentation is also conducted to verify the authenticity of the best clustering algorithm as a proof of concept.