Decision Support System for Breast Cancer Prediction
G. Dhanalakshmi · International Journal for Research in Applied Science and Engineering Technology · 2019
Cancer is considered to be one of the deadliest disease in the world.The second largest cancer disease leading to the death in women is Breast Cancer.Breast cancer is one such cancer which develops from the tissues of breast.Early diagnosis of breast cancer is very much necessary in order to prevent the growth of cancer cells.These cancer cells are detected and analyzed using various ML Techniques.In this paper, we have taken the data from Wisconsin Breast Cancer dataset.Five ML algorithms have been applied and a comparison is made between them.The best of five is identified and the accuracy level for the recurrence of cancer in affected patients is also compared.Different types of ML techniques which includes Support Vector Machines (SVMs) and Logistic Regression, Random Forest have been widely applied for research purposes in development of accuracy and better precision.In addition to this, we have also applied the KNN algorithm and Neural Network algorithm to produce better accuracy in analyzing the data.