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A study of trauma severity and drug consumption based on medical big data
- At: 2018 FIP Congress in Glasgow (Scotland)
- Type: Poster
- By: ZHU, Zhanzhou (Second Military Medical Univercity)
- Co-author(s): Zhanzhou Zhu
Lixin Shu: Second Military Medical Univercity, Shanghai, China
BackgroundReal world medical data research is a useful supplement to disaster medicine guidelines and expert consensus. The key is to build a method of trauma severity score for big medical data, so that the data of trauma diagnosis and treatment can provide reference for disaster medical rescue.
MethodsCluster sampling is performed from “Regional.. The access to the whole abstract and the presentation file is available to FIP members and to congress participants of that specific congress.
Last update 4 October 2019