Journal of the Korean Applied Science and Technology (한국응용과학기술학회지)

The Korean Society of Applied Science and Technology (한국응용과학기술학회)
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A review of big data analytics and healthcare

빅데이터 분석과 헬스케어에 대한 동향

  • Moon, Seok-Jae (Department of Information Security Engineering, Institute of Information Technology, Kwangwoon University) ;
  • Lee, Namju (Department of Physical Education, Institute of Information Technology, Kwangwoon University)
  • 문석재 (광운대학교 정보과학교육원 정보보호학과) ;
  • 이남주 (광운대학교 정보과학교육원 체육학과)
  • Received : 2019.01.29
  • Accepted : 2020.02.25
  • Published : 2020.02.28
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Abstract

Big data analysis in healthcare research seems to be a necessary strategy for the convergence of sports science and technology in the era of the Fourth Industrial Revolution. The purpose of this study is to provide the basic review to secure the diversity of big data and healthcare convergence by discussing the concept, analysis method, and application examples of big data and by exploring the application. Text mining, data mining, opinion mining, process mining, cluster analysis, and social network analysis is currently used. Identifying high-risk factor for a certain condition, determining specific health determinants for diseases, monitoring bio signals, predicting diseases, providing training and treatments, and analyzing healthcare measurements would be possible via big data analysis. As a further work, the big data characteristics provide very appropriate basis to use promising software platforms for development of applications that can handle big data in healthcare and even more in sports science.

Keywords

References

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