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Analysis and utilization of emergency big data
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 Title & Authors
Analysis and utilization of emergency big data
Lee, Seong-Yeon; Kwon, Yu-Jin; Lim, Dong-Oh; Kim, Min-Gyu; Park, Hee-Jin; Kwon, Hay-Rhan; Ju, Young-Cheol;
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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.
Emergency big data;Analysis;Utilization;
 Cited by
의료기관의 1급 응급구조사 이미지와 업무에 대한 인식과 방향 - 응급실 내 1급 응급구조사와 간호사를 중심으로 -,정상우;강경희;

한국응급구조학회지, 2016. vol.20. 2, pp.81-97 crossref(new window)
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