Prediction of Breast Cancer Using Electronic Health Record

With increasing in the death rate due to the breast cancer is the second most cause. Breast cancer prediction is one of the challenging research problem. It is essential that early prediction, diagnosis and the prevention of breast cancer. Existing system cannot produce an output with good accuracy. This paper adopts the Decision tree algorithm to extract the feature selection and compare it with prior dataset to predict the breast cancer. Our algorithm can predict breast cancer at the early stage and by providing the treatment at the earlier stage and the death rate will be reduced. In phase 1 the Electronic Health Record (EHR) has the patient dataset are used to process the value and provide the avoidance and regulation of breast cancer. In phase2 the Decision tree algorithm process the dataset and extract the feature from the dataset and compare it with prior data to predict the breast cancer.