Proposed approach for breast cancer diagnosis using machine learning
Hajar Saoud, Abderrahim Ghadi, Mohamed Ghailani · Proceedings of the 4th International Conference on Smart City Applications · 2019
Due to the danger that represents breast cancer in the society and also due to the number of death that causes every year in women's sector, the proposition of solutions that aim to reduce this number of death has become a primordial need. In this paper we present an approach for breast cancer diagnosis using machines learning techniques that can be helpful in breast cancer detection in earlier stage and with the right way without errors to propose the suitable treatment for the patients. We will use machines learning techniques in our approach due to their performance in domain of medicine.