1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
2. Software College of Beihang University, Beijing 100191, China
cgcao@ict.ac.cn
Show less
History+
Received
Accepted
Published Online
2014-05-02
2014-07-29
2014-08-27
PDF
(205KB)
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%.
Cungen Cao, Meng Sun, Shi Wang.
Extracting terms from clinical records of traditional Chinese medicine.
Front. Med., 2014, 8 (3) : 347-351 DOI:10.1007/s11684-014-0361-z
Ji PP, Yan XY, Cen YH. A survey of term recognition and extraction for domain specific Chinese text information processing. J Libr Inf Serv2010; 16: 124–129
[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)
[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)
[5]
Hu WM, HE TT, Zhang Y. Extraction of Chinese term based on Chi-square test. J Comput Appl (Ji Suan Ji Ying Yong)2007; 27(12): 3019–3020 (in Chinese)
[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)
[7]
Cen YH, Han Z, Ji PP. Chinese term recognition based on hidden Markov model. J New Technol Libr Inf Serv2008; 12: 54–58
[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
[9]
Dunning T. Accurate methods for the statistics of surprise and coincidence. Int J Comput Linguist1993; 19(1): 61–74
RIGHTS & PERMISSIONS
Higher Education Press and Springer-Verlag Berlin Heidelberg