빅데이터 분석과 헬스케어에 대한 동향

• 영문명: A review of big data analytics and healthcare
• 발행기관: 한국응용과학기술학회 (구.한국유화학회)
• 저자명: 문석재(Seok-Jae Moon) 이남주(Namju Lee)
• 간행물 정보: 『한국응용과학기술학회지』한국응용과학기술학회지 제37권 제1호, 76~82쪽, 전체 7쪽
• 주제분류: 공학 > 화학공학
• 파일형태: PDF
• 발행일자: 2020.02.29

영문 초록

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.

목차

1. Introduction

2. Theoretical concept of big data

3. Big data handling mechanisms in the healthcare applications

4. Conclusion

키워드

Big data Healthcare Convergence Analysis Application