Prediction of breast cancer using machine learning

Abstract

The number of cases of Breast cancer seems to be constantly increasing worldwide from the year 1990 to 2013. The breast cancer incidence rate in Asia appears to be 37.5% and the mortality rate is 13.21% according to 2012 world cancer report. As per the recent statistics report of 2018, it has been estimated that the count of new cases of breast cancer is 14% in India. The percentage is higher when compared to lung cancer, oral cancer and other type of cancer. It has been identified that it occurs mostly in the age group between 41-50 years and the distribution of this is found to be 42%, whereas it is 18%,24% for the age groups of 31-40 and 51-60 respectively. It has got five stages of Survival which includes the survival rate of 100%, 98%, 88%, 52%, 16% for each stage respectively. Diagnosis in the early stage can reduce the death rate, even during the stage 3 if the cancer is predicted it can be treated. Hence with the help of machine learning using artificial neural network, the cancer can be predicted. In this paper Artificial Neural Network Algorithm is used to predict the breast cancer if it is benign or malignant. ANN has been a powerful tool for analyzing the data when there are non-linear interactions between the input and the output to be predicted. The results show that the accuracy of artificial neural network (ANN) for the prediction was better than other approaches. The result varies based on the number of iterations performed. The results are very competitive and can be used for diagnosis, prognosis, and treatment.