Cervical Cancer stage prediction using Decision Tree approach of Machine Learning

Abstract: Cervical cancer is the largest common cause of cancer deaths in women around the world. It affects the cervix in the female reproductive system which leads to death. To identify the stages of cervical cancer the decision trees are very helpful. They classify the stages of the cervical cancer and help the oncologist to detect the cancer. The proposed way use the data set obtained from (http://www.igcs.org) & predict the stages of cervical cancer using See5 tool.

Keywords: Cervical Cancer prediction; Machine Learning; See5, Decision Tree; C5.