Advanced Algorithms for Predicting Normal and Weak Immune System Among HPV-infected Women

Abstract

The Human papillomavirus (HPV) is a kind of physiological virus affecting the human body and causing abnormal modifications/transformations in the body which results into a compromised immune system. When the human cells are infected and transformed by high-risk HPV genotypes (i.e. HPV-transformed cells), the immune system is deviated (weakened) and further leads to Cervical Cancer (CC) progression in women. The progression of CC in women is mostly associated with persistence of HPV-related tumors. The purpose of this study is to predict which of the HPV risk factors (low-risk and high-risk) has more impact on the women's immune system and to predict their given scores to determine the level of risk. In this paper, advanced python algorithms are implemented to differentiate between women who are predicted to have weak immune system or normal immune system as a result of low-risk or high-risk HPV infection and the possibility of CC progression in future.