Early Prediction of Breast Cancer Using Big Data Analytics and Data Mining Techniques

Abstract

To store data set that is massive in scale, the word Big Data is used. Information is an
increasingly increasing concept. Wide files includes organized, unstructured and
semestered files. Large data are commonly utilized in the analysis of diseases today in
healthcare. The type of cancer detected in a woman is breast cancer. This takes second
place as the primary cause of a woman's demise. If we detect this disease in starting
stages there will be more chances for healing. In this paper, we use method 1 as CNNMDRP algorithm for better prediction of the disease with accuracy and method 2 as
computer-aided diagnosis (CAD) for risk prediction. Both the methods come up with data
mining techniques for classification of data sets