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International Conference on Applications and Techniques in Cyber Security and Intelligence

ATCI 2019: International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 pp 36–42Cite as

Data Mining and Association Analysis of Irrational Use of Antibiotics in Outpatient Data of New Cooperative Medical System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1017))

Abstract

With the widespread use of antibiotics, bacterial resistance has become a focus of widespread attention in the world’s medical system. China is one of the largest use of antibiotics in the world. With the popularization of new cooperative medical system (NCMS), there are serious problems of excessive use of antibiotics in small rural medical institutions. Therefore, based on the NCMS data in a certain area, this paper analyzes the use of antibiotics in new rural cooperative clinics by using data mining algorithms. By correlating commonly used antibiotics with disease, the proportion of antibiotics found in this paper was 55.98%, much higher than the international average of 30%, and there was serious excess usage. Based on this paper, a series of improvement strategies were proposed to improve the management level of the medical system.

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Acknowledgments

This work was supported by Jinan star science and technology plan (No. 20120104) and Shandong Provincial Natural Science Foundation, China (Grant: ZR2016FM14).

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Authors and Affiliations

  1. Qilu University of Technology, No. 3501, Changqing University Road, Changqing Campus, Jinan City, Shandong Province, China

    Qingshun Hu & Xiaoqiang Ren

Authors
  1. Qingshun Hu
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  2. Xiaoqiang Ren
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Corresponding author

Correspondence to Xiaoqiang Ren .

Editor information

Editors and Affiliations

  1. Faculty of Science, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia

    Rafiqul Islam

  4. Shanghai University, Shanghai, China

    Zheng Xu

  5. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

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Hu, Q., Ren, X. (2020). Data Mining and Association Analysis of Irrational Use of Antibiotics in Outpatient Data of New Cooperative Medical System. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_6

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