earticle

논문검색

Big Data Analysis to Expand Support for Cervical Cancer Vaccine

원문정보

Ji-Hye Noh, Yu-Ra Choi, Yun-Seon Choi, Seong-Taek Park

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
A. Definition of human papillomavirus (HPV)
B. HPV vaccine
C. HPV vaccine type and inoculation method
D. Comparison of vaccine support types and cervical cancer incidence in developed countries
III. DATA ANALYSIS OF FACTORS ASSOCIATED WITH CERVICAL CANCER
A. Relationship between income level and cervical cancer incidence
B. HIV Vaccine Survey for People in their 20s
C. HPV and HIV comparison
IV. CONCLUSION
REFERENCES

저자정보

  • Ji-Hye Noh Department of Information and Statistics, Chungnam National University
  • Yu-Ra Choi Department of Mechanical Engineering, Chungnam National University
  • Yun-Seon Choi Department of Mathematics, Chungnam National University
  • Seong-Taek Park Strategy Planning Headquarters, CISTEP

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.