Discussion on Classical Formula Artificial Intelligence Research Path Based on Graph Theory

LIU Chang; QU Yi-qian; LI Yu; CAO Ling-yong; LIN Shu-yuan

doi:10.14148/j.issn.1672-0482.2023.0979

Volume 39 Issue 10

Oct. 2023

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Article Navigation > Journal of Nanjing University of traditional Chinese Medicine > 2023 > 39(10): 979-985

LIU Chang, QU Yi-qian, LI Yu, CAO Ling-yong, LIN Shu-yuan. Discussion on Classical Formula Artificial Intelligence Research Path Based on Graph Theory[J]. Journal of Nanjing University of traditional Chinese Medicine, 2023, 39(10): 979-985. doi: 10.14148/j.issn.1672-0482.2023.0979

Citation:

LIU Chang, QU Yi-qian, LI Yu, CAO Ling-yong, LIN Shu-yuan. Discussion on Classical Formula Artificial Intelligence Research Path Based on Graph Theory[J]. Journal of Nanjing University of traditional Chinese Medicine, 2023, 39(10): 979-985. doi: 10.14148/j.issn.1672-0482.2023.0979

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Discussion on Classical Formula Artificial Intelligence Research Path Based on Graph Theory

doi: 10.14148/j.issn.1672-0482.2023.0979

LIU Chang^{1, 2, 3
,},
QU Yi-qian^{1, 3},
LI Yu⁴,
CAO Ling-yong^{1, 3
,
,},
LIN Shu-yuan^{1, 3
,
,}

1.
School of Basic Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, China
2.
Breast Disease Specialist Hospital, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
3.
Zhejiang Chinese Medical University and Gancao Doctor Chinese Medicine Artificial Intelligence Joint Engineering Center, Hangzhou 310053, China
4.
School of Traditional Chinese Medicine, Macau University of Science and Technology, Macau 999078, China

Received Date: 2023-03-02
Available Online: 2023-11-10

Abstract

Abstract

This article analyzes the correlation between classical formula theory and graph theory, puts forward the research path of classical formula AI based on graph theory, introduces the related contents of graph theory and classical formula AI research, analyzes the correlation between graph theory and classical formula theory and thinking from the perspective of logical reasoning and propositional logic, and proposed feasible research path. The application of graph theory can solve the problem of knowledge representation in the intelligent research of classical formula. The graph properties and their measurement methods are helpful for knowledge discovery from the perspective of TCM thinking. The matrix representation and connectivity of graph integrate the domain knowledge of classical formula into AI-assisted diagnosis and treatment model and improve the model efficiency. Graph theory can provide theoretical guidance for the research of classical formula AI, and knowledge graph based on graph theory can provide solutions for the difficult problems in the research of classical formula AI.
- classical formula,
- graph theory,
- artificial intelligence,
- syndrome differentiation of the six meridians

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References(23)

References

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