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
Summary
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
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
