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The Design and Implementation of Automatic Drug Matching System

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Network Computing and Information Security (NCIS 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 345))

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Abstract

Supervising and standardizing the price of drug as well as the quality has become a big problem for drug supervision departments. The system improves the study function for drug alias. The significant problem solved in this system is the Chinese Drug Match, and it will consider those problems about drug name abbreviation and alias. The system solves this problem with two tactics: the maximum matching method implement the word segmentation function with executing corporate with Chinese pinyin translate algorithm, and using the Levenshtein Distance method to compute the matching degree.

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References

  1. Wong, P.-K., Chan, C.: Chinese Word Segmentation based on Maximum Matching and Word Binding Forc. The University of Hong Kong (1996)

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Author information

Authors and Affiliations

  1. Xiaoshan Campus of Zhejiang Radio and Television University, Hangzhou, Zhejiang, China

    Xue Zhou, Lijian Chen & ChaoMing Zhu

Authors
  1. Xue Zhou
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  2. Lijian Chen
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  3. ChaoMing Zhu
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Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  2. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  3. School of Computer Engineering, Computer Science Division, Nanyang Technological University (NTU), 50 Nanyang Avenue, Singapore

    Mo Li

  4. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuan Luo

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhou, X., Chen, L., Zhu, C. (2012). The Design and Implementation of Automatic Drug Matching System. In: Lei, J., Wang, F.L., Li, M., Luo, Y. (eds) Network Computing and Information Security. NCIS 2012. Communications in Computer and Information Science, vol 345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35211-9_25

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  • DOI: https://doi.org/10.1007/978-3-642-35211-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35210-2

  • Online ISBN: 978-3-642-35211-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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