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Development and validation of dynamic prediction models using vital signs time series data for fatal massive hemorrhage in trauma
Medical Journal of Chinese People′s Liberation Army   Vol. 49, Issue 6, Pages: 629-635(2024)
Clinical Research | 更新时间：2024-08-14
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    • Development and validation of dynamic prediction models using vital signs time series data for fatal massive hemorrhage in trauma

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    • “Latest research progress: Based on time-series data of vital signs and machine learning algorithms, a dynamic prediction model for traumatic fatal bleeding injuries has been successfully developed and validated, providing a solution for early diagnosis and dynamic prediction.”

    • DOI：10.11855/j.issn.0577-7402.1273.2023.0427    

      CLC： R641

    • Received：06 June 2022，

      Accepted：2022-12-28，

      Published：28 June 2024

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  • Guo Cheng-Yu,Gong Ming-Hui,Shen Qiao-Chu,et al.Development and validation of dynamic prediction models using vital signs time series data for fatal massive hemorrhage in trauma[J].Medical Journal of Chinese People′s Liberation Army,2024,49(06):629-635. DOI： 10.11855/j.issn.0577-7402.1273.2023.0427.

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