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Big Data Analysis to Expand Support for Cervical Cancer Vaccine


Ji-Hye Noh, Yu-Ra Choi, Yun-Seon Choi, Seong-Taek Park, Vol. 5, No. 3, pp. 10-15, Sep. 2021
10.22662/IJEMR.2021.5.3.010, Full Text:
Keywords: Big data, Big Data Analysis, Cervical cancer, Cervical cancer vaccine, Vaccine support are expanded

Abstract

Background/Objectives: This study is a basic stage of research to expand support for cervical cancer vaccines. Methods/Statistical analysis: Data was collected and refined and analyzed using R and Excel, which are statistical tools for big data analysis. A survey was conducted on college students in their 20s and tried to analyze it. Findings: In addition, as a result of conducting a correlation analysis with the factors affecting cervical cancer through R, it was found that they were related to each other. Improvements/Applications: The results of this study suggested the need for cervical cancer vaccine support from the government and suggested ways to expand it.


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Cite this article
[APA Style]
Noh, J., Choi, Y., Choi, Y., & Park, S. (2021). Big Data Analysis to Expand Support for Cervical Cancer Vaccine. International Journal of Emerging Multidisciplinary Research, 5(3), 10-15. DOI: 10.22662/IJEMR.2021.5.3.010.

[IEEE Style]
J. Noh, Y. Choi, Y. Choi, S. Park, "Big Data Analysis to Expand Support for Cervical Cancer Vaccine," International Journal of Emerging Multidisciplinary Research, vol. 5, no. 3, pp. 10-15, 2021. DOI: 10.22662/IJEMR.2021.5.3.010.

[ACM Style]
Ji-Hye Noh, Yu-Ra Choi, Yun-Seon Choi, and Seong-Taek Park. 2021. Big Data Analysis to Expand Support for Cervical Cancer Vaccine. International Journal of Emerging Multidisciplinary Research, 5, 3, (2021), 10-15. DOI: 10.22662/IJEMR.2021.5.3.010.