Breast Cancer Detection using Modified Particle Swarm Optimization

Early detection of cancer is the greatest approach for curing cancer and increasing the survival rate. people suffer from cancer in the world. Now, advanced Artificial intelligence algorithms help to treat and detection of cancer. This paper is applied a Modified Particle Swarm Optimization using Support vector machine for diagnosed breast cancer on Wisconsin Breast Cancer UCI Dataset. moreover, the proposed model can identify effective features of breast cancer. The results demonstrate that feature selection can improve accuracy of classifiers and the proposed model supplies the superior diagnosis of breast cancer to the existing methods.