Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Quantitative Analysis of China's New Drug Policy Based on Text Mining Perspective

Authors
Yufang He1, Ruoyao Jia1, Wenjing Duan1, Zhen Gong1, Chengye Zhang1, Kaiyue Shen1, Fang Xia1, *
1School of Health Management, Changchun University of Chinese Medicine, Changchun, 130117, China
*Corresponding author. Email: Xiafang425@126.com
Corresponding Author
Fang Xia
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_78How to use a DOI?
Keywords
New drugs; policy analysis; text mining
Abstract

This paper focuses on the vital domains and developmental trends of new drug-related policy. A total of 98 policy texts from 2010–2021 were subjected to cluster analysis and strategic coordinate analysis. The results showed that the number of new drug policies is fluctuating upward, the coordination of departments need to be strengthened; the emphasis of new drug policy is the innovative drug R&D for critical ailment, and the development direction is to deepen the reform of the new drug review and approval system. This study provides insight into, and a resource for the further exploration of New Drug Policy.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_78
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_78How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yufang He
AU  - Ruoyao Jia
AU  - Wenjing Duan
AU  - Zhen Gong
AU  - Chengye Zhang
AU  - Kaiyue Shen
AU  - Fang Xia
PY  - 2023
DA  - 2023/08/10
TI  - Quantitative Analysis of China's New Drug Policy Based on Text Mining Perspective
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 750
EP  - 759
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_78
DO  - 10.2991/978-94-6463-198-2_78
ID  - He2023
ER  -