Harnessing the Power of Decision Tree approach in Machine Learning for Cervical Cancer Stage Prediction using See5 and SIPINA
Around the globe Cervical cancer is the biggest reason of cancer deaths in women. It influences the cervix in the female regenerative system which prompts death. The decision tree machine learning approach helps to identify the stages of cervical cancer. Decision tree categorize the stages of the cervical cancer in hierarchical decision making system approach which guide the oncologist to take decision on stages of cervical cancer, which safes human life. The proposed methodology use the research data set obtained from http:/www.igcs.org leads the prediction towards the stages of cervical cancer using See5 and SIPINA tool.