Abstract
The purpose of this study is to explore the risk factors of HR-HPV (High-Risk Human PapillomaVirus) cervical infection, and to construct an evaluation model through quantification of indicators, so as to provide a basis for the identification of high-risk population, propose a reference for reducing and clearing HR-HPV infection of the cervix and determine a reasonable follow-up period. Computer science and technologies are widely used in the study to calculate and analyze clinical data. The outcome of the study can help to carry forward the prevention of HR-HPV infection, so as to achieve the secondary prevention of cervical cancer. Quantitative analysis indicators model can be used to identify risky people who are vulnerable to HR-HPV and improve the compliance of targeted population to participate in screening. And at the same time, the study can provide reference and basis in the decision of the interval between follow-up visits for HPV testing. Therefor the number of missing HPV screening among risky women is expected to decreased and psychological panic and unnecessary economic burden of patients caused by excessive testing could be avoided.
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This work was supported by the Education Department Foundation of Jilin Province (Grant No. JJKH20210066KJ).
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Gong, L., Xie, H., Wang, L., Zhang, L., Li, S., Miao, B. (2022). Quantitative Analysis Indicators and Risk Factor Assessment of HR-HPV. In: Chu, SC., Lin, J.CW., Li, J., Pan, JS. (eds) Genetic and Evolutionary Computing. ICGEC 2021. Lecture Notes in Electrical Engineering, vol 833. Springer, Singapore. https://doi.org/10.1007/978-981-16-8430-2_14
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DOI: https://doi.org/10.1007/978-981-16-8430-2_14
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