Breast cancer is the leading cause of death among women. It has become a common ailment with a rapid increase in occurrence. Earlier detection is the most efficient way to control breast cancer consequences. The healthcare industry benefits from machine learning because it can help make sense of the massive amounts of healthcare data generated daily within electronic health records. The process of breast cancer early prediction can be greatly aided by machine learning techniques, which are now a popular area of study due to their effectiveness. The risk prediction of breast tumours using algorithms for machine learning has been the subject of numerous studies. The purpose of this study is to use logistic regression to identify a woman’s risk for breast cancer