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Entity Recognition in Famous Medical Records Based on BRL Neural Network Model
更新时间：2024-11-18

    • Entity Recognition in Famous Medical Records Based on BRL Neural Network Model

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    • “Latest research progress: Experts have constructed a Bert Radiol Lexicon neural network model to improve the accuracy of entity recognition for medical case text naming, providing a new solution for extracting clinical information in traditional Chinese medicine.”
    • Chinese Journal of Experimental Traditional Medical Formulae   Vol. 30, Issue 24, Pages: 167-173(2024)

    • DOI：10.13422/j.cnki.syfjx.20241165    

      CLC： R22;R28;R249;TP183

    • Received：08 March 2024，

      Published Online：03 June 2024，

      Published：20 December 2024

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  • YANG Hang,PENG Yehui,YANG Wei,et al.Entity Recognition in Famous Medical Records Based on BRL Neural Network Model[J].Chinese Journal of Experimental Traditional Medical Formulae,2024,30(24):167-173. DOI： 10.13422/j.cnki.syfjx.20241165.

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