A Complex Network-Based Approach for Analysis of Drug Usage

Lianhong Ding; Ke Xuan; Ruiping Yuan

doi:doi:10.11648/j.net.20160401.12

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A Complex Network-Based Approach for Analysis of Drug Usage

Lianhong Ding, Ke Xuan, Ruiping Yuan

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.

DOI	10.11648/j.net.20160401.12
Published in	Advances in Networks (Volume 4, Issue 1, September 2016)
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), 2024. Published by Science Publishing Group

Keywords

Drug Usage, Complex Network, Degree, Eye Hospital

References

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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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TY  - JOUR
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

Lianhong Ding

School of Information, Beijing Wuzi University, Beijing, China
Ke Xuan

Jinan Second People’s Hospital, Jinan, China
Ruiping Yuan

School of Information, Beijing Wuzi University, Beijing, China

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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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
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  -

Copy | Download