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A Complex Network-Based Approach for Analysis of Drug Usage

Received: 31 October 2016     Accepted: 14 November 2016     Published: 25 November 2016
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Abstract

The status of drug usage for patients is important for the research about clinical application. This paper analyzes the drug usage in an eye hospital. Two approaches are adopted for the analysis procedure. There are statistics and complex theory. Four networks for different kinds of drugs are built first. Then degree property of these networks is used. Finally, the comparison between the two methods is conducted. The comparison results show node degree of drug network can reflect the drug using frequency well.

Published in Advances in Networks (Volume 4, Issue 1)
DOI 10.11648/j.net.20160401.12
Page(s) 6-12
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Drug Usage, Complex Network, Degree, Eye Hospital

References
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  • APA Style

    Lianhong Ding, Ke Xuan, Ruiping Yuan. (2016). A Complex Network-Based Approach for Analysis of Drug Usage. Advances in Networks, 4(1), 6-12. https://doi.org/10.11648/j.net.20160401.12

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    ACS Style

    Lianhong Ding; Ke Xuan; Ruiping Yuan. A Complex Network-Based Approach for Analysis of Drug Usage. Adv. Netw. 2016, 4(1), 6-12. doi: 10.11648/j.net.20160401.12

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    AMA Style

    Lianhong Ding, Ke Xuan, Ruiping Yuan. A Complex Network-Based Approach for Analysis of Drug Usage. Adv Netw. 2016;4(1):6-12. doi: 10.11648/j.net.20160401.12

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  • @article{10.11648/j.net.20160401.12,
      author = {Lianhong Ding and Ke Xuan and Ruiping Yuan},
      title = {A Complex Network-Based Approach for Analysis of Drug Usage},
      journal = {Advances in Networks},
      volume = {4},
      number = {1},
      pages = {6-12},
      doi = {10.11648/j.net.20160401.12},
      url = {https://doi.org/10.11648/j.net.20160401.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20160401.12},
      abstract = {The status of drug usage for patients is important for the research about clinical application. This paper analyzes the drug usage in an eye hospital. Two approaches are adopted for the analysis procedure. There are statistics and complex theory. Four networks for different kinds of drugs are built first. Then degree property of these networks is used. Finally, the comparison between the two methods is conducted. The comparison results show node degree of drug network can reflect the drug using frequency well.},
     year = {2016}
    }
    

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    T1  - A Complex Network-Based Approach for Analysis of Drug Usage
    AU  - Lianhong Ding
    AU  - Ke Xuan
    AU  - Ruiping Yuan
    Y1  - 2016/11/25
    PY  - 2016
    N1  - https://doi.org/10.11648/j.net.20160401.12
    DO  - 10.11648/j.net.20160401.12
    T2  - Advances in Networks
    JF  - Advances in Networks
    JO  - Advances in Networks
    SP  - 6
    EP  - 12
    PB  - Science Publishing Group
    SN  - 2326-9782
    UR  - https://doi.org/10.11648/j.net.20160401.12
    AB  - The status of drug usage for patients is important for the research about clinical application. This paper analyzes the drug usage in an eye hospital. Two approaches are adopted for the analysis procedure. There are statistics and complex theory. Four networks for different kinds of drugs are built first. Then degree property of these networks is used. Finally, the comparison between the two methods is conducted. The comparison results show node degree of drug network can reflect the drug using frequency well.
    VL  - 4
    IS  - 1
    ER  - 

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Author Information
  • School of Information, Beijing Wuzi University, Beijing, China

  • Jinan Second People’s Hospital, Jinan, China

  • School of Information, Beijing Wuzi University, Beijing, China

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