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구급 빅데이터의 분석과 활용 방안에 관한 연구

Analysis and utilization of emergency big data

  • 이성연 (광주광역시 남부소방서) ;
  • 권유진 (광주광역시 남부소방서) ;
  • 임동오 (광주광역시 남부소방서) ;
  • 김민규 (광주광역시 남부소방서) ;
  • 박희진 (서영대학교 응급구조과) ;
  • 권혜란 (광주보건대학교 응급구조과) ;
  • 주영철 (광주광역시 남부소방서)
  • 투고 : 2016.03.02
  • 심사 : 2016.04.18
  • 발행 : 2016.04.30

초록

Emergency statistics for cities and provinces are currently derived using simple results of comparative numerical data, but there is a limit to the ability to analyze and compare deviations relevant to a specific city and province. This study aims to derive various correlations through statistical analysis of emergency and rescue data for Gwangju Metropolitan City and to develop an analytical model that can be applied nationwide. With the new statistical model, further detailed analysis is possible beyond simple evaluation of rescue data, through links to other institutions and analyses using keywords from Internet portal sites and social networks. Second, a system which that can analyze data that are not shared is required. Through this system, a large amount of data can be automatically analysed in real time. Third, the results should flow back for application in various policies. A real-time monitoring and management system should be created for abnormal patterns of disease. In addition, the results should be available to tailor services for individuals, communities, or specific organizations.

키워드

참고문헌

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