Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Analysis of the Laws and Characteristics of the Application of Fresh Drugs in "Puji Benshi Fang" Based on Data Mining

Authors
Shun Li1, Guirong Liu1, *
1Institute of Literature and Culture of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250300, China
*Corresponding author. Email: lwy8668@163.com
Corresponding Author
Guirong Liu
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_32How to use a DOI?
Keywords
Fresh medicine; Xu Shuwei; Puji Benshi Fang; data mining
Abstract

Based on data mining technology, the application rules and characteristics of fresh medicine in "Puji Benshi Fang" were discussed. Retrieve and collect the fresh medicine used in "Puji Benshi Fang" and the nature, flavor and chapters of the applied fresh medicine, analyze and input the data to establish a database. According to the data analysis, a total of 47 kinds of fresh medicines were used in"Puji Benshi Fang", 156 times, and ginger (Shengjiang) was the most frequently used fresh medicine. Among the 47 kinds of drugs used, the medicinal properties were the most cold, and the flavors were mostly bitter, sweet and spicy. In terms of clinical application, the most recipes containing fresh drugs were used in internal medicine, and the most fresh drugs were used in internal medicine. The data mining results showed that Xu Shuwei used fresh medicine mainly because fresh medicine was easy to obtain, easy to prepare, and the active ingredients remained intact. By summarizing the application of fresh medicine in "Puji Benshi Fang", we hope to strengthen the emphasis on fresh medicine and provide basis for clinical use of fresh medicine.

Copyright
© 2024 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 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
978-94-6463-264-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_32How to use a DOI?
Copyright
© 2024 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  - Shun Li
AU  - Guirong Liu
PY  - 2023
DA  - 2023/09/28
TI  - Analysis of the Laws and Characteristics of the Application of Fresh Drugs in "Puji Benshi Fang" Based on Data Mining
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 291
EP  - 301
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_32
DO  - 10.2991/978-94-6463-264-4_32
ID  - Li2023
ER  -