Breast Cancer Detection Using Machine Learning

Abstract: One of the biggest issues facing humanity in the developing countries is cancer-related mortality. Some cancer kinds still lack a cure, despite the fact that there are many strategies to stop it from occurring in the first place. Breast cancer is one of the most prevalent cancer kinds, and early detection is the key to the most crucial aspect of treatment. One of the most crucial steps in the treatment of breast cancer is an accurate diagnosis. There is numerous research about predicting the type of breast cancers in the literature. In this study, predictions on the types of breast cancers were made using information on breast cancer tumors from Dr. William H. Walberg of the University of Wisconsin Hospital. Results obtained with the logistic regression model with all features included showed the highest classification accuracy (98.1%), and the proposed approach revealed the enhancement in accuracy performances. These results indicated the potential to open new opportunities in the detection of breast cancer.