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International Conference on Machine Learning and Intelligent Communications

MLICOM 2017: Machine Learning and Intelligent Communications pp 300–314Cite as

Research on Key Technology in Traditional Chinese Medicine (TCM) Smart Service System

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Abstract

This paper studies the combination of information network technologies like Internet of Things (IoT) and big data with traditional Chinese medicine (TCM) to build a system framework oriented to TCM smart service. TCM-oriented knowledge representation technology is also explored so as to realize computer recognition and calculation of TCM health service, the self-learning reasoning technology of system is further studied, and TCM knowledge fuzzy model and modified BP neural network algorithm are introduced into TCM smart service system to conduct machine learning and smart judgment upon various diseases. These technologies will promote the scientific research and artificial intelligence aided diagnosis of TCM.

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Notes

  1. 1.

    The work is supported by the national 973 project of China under Grants 2013CB329104, the Natural Science Foundation of China under Grants 61427801, the Natural Science Foundation of the Jiangsu Higher Education Institutions (Grant No. 13KJB520029), the Jiangsu Province colleges and universities graduate students scientific research and innovation program CXZZ13_0477, NUPTSF (Grant No. NY217033).

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Acknowledgement

The work is supported by the Natural Science Foundation of China under Grants 61372124, 61427801, the Natural Science Foundation of the Jiangsu Higher Education Institutions (Grant No. 13KJB520029), the Jiangsu Province colleges and universities graduate students scientific research and innovation program CXZZ13_0477, NUPTSF (Grant No. NY217033).

Author information

Authors and Affiliations

  1. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Yongan Guo & Xiaomin Guo

  2. Jiangsu Key Lab of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Yongan Guo, Tong Liu & Ye Yang

Authors
  1. Yongan Guo
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  2. Tong Liu
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  3. Xiaomin Guo
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  4. Ye Yang
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Corresponding author

Correspondence to Yongan Guo .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Xuemai Gu

  2. Harbin Institute of Technology, Weihai, Heilongjiang, China

    Gongliang Liu

  3. Shandong University, Weihai, Heilongjiang, China

    Bo Li

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Guo, Y., Liu, T., Guo, X., Yang, Y. (2018). Research on Key Technology in Traditional Chinese Medicine (TCM) Smart Service System. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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