Abstract

Human papillomavirus (HPV) is considered as one of the major causes of multiple cancers, including cervical, anal, and vaginal cancers. Some studies analyzed the infection patterns of cancers caused by HPV using individual clinical test data, which is resource and time expensive. In order to facilitate the understanding of cancers caused by HPV, we propose to use data analytics methods to reveal the influencing factors from the population-level statistics data, which is available more easily. Particularly, we demonstrate the effectiveness of data analytics approach by introducing a predictive analytics method in studying the risk factors of cervix cancer in the United States. Besides accurate prediction of the number of infections, the predictive analytics method discovers the population statistic factors that most affect the cervical cancer infection pattern. Furthermore, we discuss the potential directions in developing more advanced data analytics approaches in studying cancers caused by HPV.

Highlights

  • Human papillomavirus (HPV) is believed to cause more than 90% of anal and cervical cancers, about 70% of vaginal and vulvar cancers, and 60% of penile cancers [1, 12]

  • In order to facilitate the understanding of cancers caused by HPV, we propose a data analytics approach to discover influencing factors efficiently from heterogeneous data resources, such as demographical and social-economic statistic data

  • We proposed a data analytics approach to mining the influencing factors of HPV-related cancer from population-level statistics data

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Summary

Introduction

Human papillomavirus (HPV) is believed to cause more than 90% of anal and cervical cancers, about 70% of vaginal and vulvar cancers, and 60% of penile cancers [1, 12]. Sexual behavior is considered as a major risk of HPV infection [13]. Some studies have revealed that the rate of people getting HPV-associated cancers varies by race and ethnicity [3]. They showed that black and Hispanic women had higher rates of HPV-associated cervical cancer than women of other races and non-Hispanic women, which is of great value for further investigation into the causing mechanism of HPV-related cancers

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