Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Research on the construction of a knowledge graph of COVID-19 based on Chinese medicine prescriptions

Authors
Shiwen Wang1, Jin Liu1, *, Mingxue Li1
1School of Management, Tianjin Normal University, Tianjin, 300387, China
*Corresponding author. Email: mis_17_liujin@163.com
Corresponding Author
Jin Liu
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_19How to use a DOI?
Keywords
COVID-19; Neo4j; Traditional Chinese medicine; Knowledge graph; Prescription
Abstract

In order to explore the method and general steps of knowledge mapping for mining the prescriptions of novel coronavirus, and to verify the applicability of knowledge mapping in the diagnosis and treatment of novel coronavirus. In this paper, we collected 75 TCM prescriptions published by national and local TCM administrations, and obtained data on the names, tongues and pulses of TCM. The data were analyzed based on the Neo4j database, and the knowledge graphs were constructed based on the rules of association. The research results, on the one hand, achieved explicit expression of the implicit knowledge of Chinese medicine in the prevention and treatment of neocrown pneumonia, such as drugs, symptoms and correlations, and provided a basis for the future construction of an intelligent auxiliary information system based on knowledge mapping, and provided ideas for the application of knowledge mapping in other public health events.

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 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_19
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_19How 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  - Shiwen Wang
AU  - Jin Liu
AU  - Mingxue Li
PY  - 2022
DA  - 2022/12/29
TI  - Research on the construction of a knowledge graph of COVID-19 based on Chinese medicine prescriptions
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 155
EP  - 167
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_19
DO  - 10.2991/978-94-6463-102-9_19
ID  - Wang2022
ER  -