Study of frequent emergency call environmental context extraction through a multivariate approach구급 신고가 자주 일어나는 환경적 맥락 추출을 위한 다변량 접근

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Accidents are the dominant cause of high mortality, morbidity, disability and loss of labor both in Korea and abroad. According to studies, the Preventable Death Rate (PDR) in Korea has been improving to 35.2% in 2010. However, it is still much higher compared to 24% in 2010 in England and Wales, U.K., and 15% in 2003 in Montana, U.S. Since 50% of patients’ deaths occur during pre-hospital emergency care, there are increasing efforts to improving EMS. Previous studies related to EMS for reducing PDR can be categorized into two parts: focusing on the fairness, and on the efficiency of EMS. Focusing on the fairness of EMS, researchers analyzed the vulnerable areas and suggested how to redeploy resources such as emergency centers or fire stations. When focusing on the efficiency of EMS, many studies applied mathematical or simulation based models to suggest dispatching resources such as ambulances. In order to manage the limitative resources efficiently and prepare for emergency calls beforehand, researchers attempted to find the factors behind accidents. A lot of empirical studies considered a number of factors and some of them are sometimes conflicted. That is because each study considers different variables and when those variables come together, the results differ. Thus, multivariate analysis should be considered. This paper therefore suggests a multivariate approach model to extract environmental contexts of frequent emergency calls and offers an application to the real case. According to the Routine Activity Theory (RAT), the components of an environmental context are divided into two dimensions: temporal and weather. Association rule mining is used as a tool for this study and Call-Context ratio which is a modified version of lift is calculated. The decision maker sets the threshold on the Call-Context ratio in order to select the environmental contexts that they will concern. In the application results, the extracted environmental contexts were found to i...
Advisors
Rho, Jae-Jeungresearcher노재정
Description
한국과학기술원 : 기술경영학과,
Publisher
한국과학기술원
Issue Date
2014
Identifier
568847/325007  / 020114339
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 기술경영학과, 2014.2, [ vi. 43 p. ]

Keywords

EMS; 연관성규칙; 맥락; 인재; 응급의료서비스; Association rule; Accident; Context

URI
http://hdl.handle.net/10203/197927
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=568847&flag=dissertation
Appears in Collection
ITM-Theses_Master(석사논문)
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