Support Vector Machine Learning Model to Classify Breast Cancer Tumor

Abstract

Breast cancer is the most common cancer in women worldwide and is increasing rapidly in developing countries where many patients are diagnosed late. Diagnosis is important so that women can get it treated quickly. It is best to have an accurate and quick diagnosis as it is an important step in recovery and treatment. The diagnosis of breast cancer is made with the help of mammograms, which are X-ray of the breasts. It is a tool used to detect and help diagnose breast cancer. However, the discovery is not easy due to the different types of uncertainty in using these mammograms. Machine learning (ML) techniques can help detect breast cancer. We can use these methods to develop medical tools that can be used as an effective early detection and cancer screening tool that can significantly improve the survival rate of patients. To use the ML algorithms, the database was divided into the training phase and the testing phase. The algorithm was then used to classify cancer as benign or malignant.