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 |
Drug Usage, Complex Network, Degree, Eye Hospital
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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
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
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
@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} }
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 -