Accuracy of Cervical Cancer Prediction Using Machine Learning Algorithms

Abstract

The  main condition for develop in cervix using Cervical malignancy. Variousreasons of the Human Papillomavirus (HPV), andenotive infectiousillness, are responsible for the majority of cervical malignancies. The cervix is the lower part of the uterus that connects to the vaginal canal. The immune system protects the vast majority of women, but in a small number of cases, the infection persists for a long time. The reason for passing overall is due to convincing access to cervical screening strategies, which is a remarkable test. This virus can be successfully treated if it is detected early on. A Pap test and an HPV DNA test are used in the screening exams. The appropriate informational index is obtained, which includes the patient's age, whether or not they tape, oral contraception, IUD usages, Sexually Transmitted Diseases (STD) proximity, and so on. This role focuses on using AI calculations such as Support Vector Machine (SVM), strategic calculation, direct relapse, and preference tree to predictcervical malignant development from HVP and Pap tests