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Extracting terms from clinical records of traditional Chinese medicine

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Abstract

Health records of traditional Chinese medicine contain valuable clinical information which can be used for improvement of disease treatment and for medical research. In this paper, we present a practical iterative extraction method for extracting terms from the records. The method is based on a set of extraction rules, the Mesh, and the likelihood ratio technique, and achieved a precision rate of 88.18% and a recall rate of 94.21%.

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References

  1. Ji PP, Yan XY, Cen YH. A survey of term recognition and extraction for domain specific Chinese text information processing. J Libr Inf Serv 2010; 16: 124–129

    Google Scholar 

  2. Daille B. Study and implementation of combined techniques for automatic extraction of terminology. In: Klavans JL, Resnik P. The Balancing Act: Combining Symbolic and Statistical Approaches to Language. Cambridge, MA: MIT Press, 49–66

  3. Wang WM, He DC, Fu JH. Research of professional term identification method based on seed expansion. J Comput Appl (Ji Suan Ji Ying Yong) 2012; 29(11): 4105–4107 (in Chinese)

    Google Scholar 

  4. Zhang F, Xu Y, Hou Y, Fan X Z. Chinese term extraction system based on mutual information. J Comput Appl (Ji Suan Ji Ying Yong) 2005; 22(5): 72–73 (in Chinese)

    Google Scholar 

  5. Hu WM, HE TT, Zhang Y. Extraction of Chinese term based on Chisquare test. J Comput Appl (Ji Suan Ji Ying Yong) 2007; 27(12): 3019–3020 (in Chinese)

    Google Scholar 

  6. Zhang WB, Bai Y, Wang PY, Zhang GP. An automatic domain terms extraction method on traditional Chinese medicine books. J Shenyang Aerosp Univ (Shenyang Hang Kong Hang Tian Da Xue Xue Bao) 2011; 28(1): 72–75 (in Chinese)

    CAS  Google Scholar 

  7. Cen YH, Han Z, Ji PP. Chinese term recognition based on hidden Markov model. J New Technol Libr Inf Serv 2008; 12: 54–58

    Google Scholar 

  8. Zhang HP, Liu Q. HHMM-based Chinese lexical analyzer ICTCLAS. In: Proceedings of the second SIGHAN workshop on Chinese language processing. 2003; 17: 184–187

    Google Scholar 

  9. Dunning T. Accurate methods for the statistics of surprise and coincidence. Int J Comput Linguist 1993; 19(1): 61–74

    Google Scholar 

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Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China

    Cungen Cao & Shi Wang

  2. Software College of Beihang University, Beijing, 100191, China

    Meng Sun

Authors
  1. Cungen Cao
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  2. Meng Sun
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  3. Shi Wang
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Correspondence to Cungen Cao.

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Cao, C., Sun, M. & Wang, S. Extracting terms from clinical records of traditional Chinese medicine. Front. Med. 8, 347–351 (2014). https://doi.org/10.1007/s11684-014-0361-z

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  • DOI: https://doi.org/10.1007/s11684-014-0361-z

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