ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술대회 An Analysis of Emergency Calls Data Record for Patient Severity Prediction
Cited 0 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
권은정, 박현호, 변성원, 손교훈, 이규철
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1862-1864
21JR2200, 119신고 접수에 대한 딥러닝 기반 재난 상황인지 및 대응지원 모델링 기술 개발, 권은정
The emergency dispatchers receive calls from people who request needs in troubles such as firefighting, emergency medical services, and rescues through the emergency phone call number 119(equivalent to 911) in South Korea. They are trained in communication, prioritization of calls, and other instructions according to preapproved protocols to aware risk factors from the start of calls. However, they tell that understanding all situations and determining the appropriate services necessary to respond is difficult in a time critical condition. Thus, In order to solve this problem and assist them with accurate information in context by patient severity levels, we analyzed emergency call records data and propose a scheme predicting patient severity levels.
KSP 제안 키워드
Critical condition, Risk Factors, Severity level, South Korea, emergency calls, emergency medical services, phone call, severity prediction