ABSTRACT

Breast cancer is one of the leading cancer and cause of mortality among women in developing countries including India. Data mining is a field of science with the help of which we can recognize the unique patterns and markers from huge heterogeneous database responsible for particular disease. It is helpful to create awareness and to take early decisions based on evidences. In this work we applied different data mining algorithms on UCI Machine Learning Repository dataset which consists of data from case study that was conducted at the University of Chicago’s Billings Hospital on the breast cancer patients. In this work models have been developed using decision tree, SVM, and neural network and the accuracy of the developed models were accessed to find the best model for this type of data.