Research on survival model of casualty in wartime

The objective of this paper is to explore the survival model of casualty in wartime using expert questionnaires and survival curve fitting. First, the survival probability data of wartime casualty were collected using expert questionnaires. Then, these data were fitted by the Weibull survival functi...

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Bibliographic Details
Main Authors: Kai Zhang, Ruichang Wu, Haijian Du, Xiaofeng Zhang, Xueqiang Tao
Format: Conference Proceeding
Language:English
Subjects:
Casualty
Curve fitting
Data models
Delay
Injuries
Mathematical model
MATLAB
Survival model
Wartime
Weibull distribution
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Summary:The objective of this paper is to explore the survival model of casualty in wartime using expert questionnaires and survival curve fitting. First, the survival probability data of wartime casualty were collected using expert questionnaires. Then, these data were fitted by the Weibull survival function with MATLAB and the casualty survival functions based on type of medical treatment facility (MTF) and treatment delay were obtained. At last, on the basis of above research, the final casualty survival model based on any treatment delay was obtained. The survival model developed will contribute to timeliness treatment and wartime medical evacuation simulation.
DOI:10.1109/ITiME.2011.6130879