Construction of Knowledge Graph Based on Literature Data by Taking Treatment of Diabetic Peripheral Neuropathy with Traditional Chinese Medicine as An Example
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Construction of Knowledge Graph Based on Literature Data by Taking Treatment of Diabetic Peripheral Neuropathy with Traditional Chinese Medicine as An Example
增强出版
Chinese Journal of Experimental Traditional Medical FormulaeVol. 30, Issue 6, Pages: 144-150(2024)
CHAI Jiaqi,TAN Yumeng,XIANG Xinghua,et al.Construction of Knowledge Graph Based on Literature Data by Taking Treatment of Diabetic Peripheral Neuropathy with Traditional Chinese Medicine as An Example[J].Chinese Journal of Experimental Traditional Medical Formulae,2024,30(06):144-150.
CHAI Jiaqi,TAN Yumeng,XIANG Xinghua,et al.Construction of Knowledge Graph Based on Literature Data by Taking Treatment of Diabetic Peripheral Neuropathy with Traditional Chinese Medicine as An Example[J].Chinese Journal of Experimental Traditional Medical Formulae,2024,30(06):144-150. DOI: 10.13422/j.cnki.syfjx.20231448.
Construction of Knowledge Graph Based on Literature Data by Taking Treatment of Diabetic Peripheral Neuropathy with Traditional Chinese Medicine as An Example增强出版
To systematically sort out the knowledge framework and conceptual logic relationship of "disease-syndrome-treatment-prescription-medicine" in the existing literature on traditional Chinese medicine(TCM) treatment of diabetic peripheral neuropathy(DPN), to construct of the knowledge map of TCM treatment of DPN, and to promote the explicitation of the implicit knowledge in the literature on the treatment of DPN with TCM.
Method
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Taking the literature of China National Knowledge Infrastructure about TCM treatment of DPN as the main data source, TCM-related concepts and entities were constructed by manual citation, and the corresponding relationships between the entities were established. Structured data were formed by processing with Python 3.7, and the knowledge graph was constructed based on Neo4j 3.5.34 graph database.
Result
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The resulting knowledge graph with TCM diagnosis and treatment logic, defined 12 node labels such as prescriptions, Chinese medicines and syndrome types at the schema layer, as well as 4 types of relationships, such as inclusion, correspondence, selection and composition. It could support the query and discovery of nodes(syndrome elements, syndrome types and treatment methods), as well as the relationship between each node.
Conclusion
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Based on the literature data, this study constructed a knowledge map for TCM treatment of DPN, which brought together various methods of TCM treatment of DPN, including internal and external treatment. The whole chain knowledge structure of syndrome differentiation and classification for DPN treatment is formed from syndrome element analysis, syndrome type composition to treatment method selection, which can provide new ideas and methods for literature data to serve clinical and scientific research work, as well as reference for visualization of TCM literature knowledge, intellectualization of TCM knowledge services and the standardization of TCM diagnosis and treatment.
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