Artificial Neural Network for Prediction of Breast Cancer

Technologies play a vital role in cancer care. Data mining approach has helped a lot in medical science due to its high efficiency in the prediction of the future health condition, and also helps in reduction of medical cost and improving the health of people and quality in real time which helps in saving lives' of people. Breast Tissue is the reason due to which breast cancer develops. It takes the second place for the most cancer diagnoses in the women after skin cancer. There are humungous data and information which gives an opportunity for analysing and understanding the process and make some researches using machine learning techniques. The main part of this paper is to create a tool for early prediction of breast cancer with the highest accuracy possible and low error rate. This was done by applying machine learning algorithms and with help of Artificial Neural Network (ANN) using Wisconsin Breast Cancer (Diagnostic) Dataset. Experimental results show that ANN gives the accuracy up to 98% with low error rate. The Experiment is conducted using Dev.-C++ software and implemented using C-language.