Detection of Breast Cancer using Machine Learning Classifier

Abstract

Breast Cancer is a cancer that starts from the cells of breasts of women typically in the age of 25–50. Manual diagnosis of breast cancer takes long time. So, for early detection, automatic diagnosis system should be developed. This can be done using Machine learning techniques effectively. So, here we have developed a machine learning model which will predict whether the person has breast cancer or not. We will be using machine learning classifiers for training the model on Wisconsin Diagnostic Breast Cancer (WDBC) dataset from UCI repository and will compare the accuracies. We would consider different features of the person's cell and train our model accordingly to achieve maximum accuracy. For the ease of use, we would convert the model into a web application where user is supposed to enter the information about the cells of the person. This method would surely decrease the efforts of doctors in detecting breast cancer easily.