Breast Cancer Classification
Several machine learning techniques have been proposed in this study to accurately detect and prevent breast cancer in the modern world.
Abstract
Any sickness that is detected early enough can be cured with a small amount of human effort. The majority of patients do not recognize their illness until it has progressed to the point where it is chronic. It causes a rise in the global death rate. Breast cancer is one of the most common cancers, but it can be treated if detected early. It’s among the most frequent and deadly cancers among women. It has now become a frequent health problem, and its frequency has recently increased. Due to misinterpretation, the medical practitioner may diagnose diseases incorrectly. An easy way to deal with the symptoms of breast cancer is to recognize them early. Computer-aided diagnosis (CAD) plays an important role in diagnosing breast cancer early and can help people live longer.Several machine learning techniques have been proposed in this study to accurately detect and prevent breast cancer in the modern world. The Diagnostic Breast Cancer Wisconsin dataset is used here and comparison among K-Nearest Neighbor, Naive Bayes, Decision Tree, Support Vector Machine and Random forest is done.