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[Analysis of acupoint-symptom relationship in ' based on complex network]. | LitMetric

[Analysis of acupoint-symptom relationship in ' based on complex network].

Zhongguo Zhen Jiu

Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China; Xuzhou Medical University, Xuzhou 221004, Jiangsu Province.

Published: January 2022

Acupoint-symptom relationship in 's was analyzed based on complex network, acupoint names and indications were extracted from the book, which provided ideas and methods for promoting the modernization of acupuncture and moxibustion by using complex network technology. A total of 112 acupoints in 201 acupuncture prescriptions were included, and the total frequency of acupoints was 880 times, forming 42 034 acupoint pairs. In terms of network indexes, compared with the complex network of comprehensive acupuncture books, such as , , formed based on the same mathematical method, the complex network model for 's shows more typical small world effect, which is characterized by higher network density (6.762) and shorter average path length (1.064). This phenomenon may be related to the tongue and pulse which added the link between acupoints. For the node indexes, the analysis of topological indexes such as Page Rank shows that acupoints represented by Dazhui (GV 14) has higher compatibility value in the treatment of exogenous diseases, which further demonstrates the clinical value of eigenvector centrality in guiding intelligent compatibility of points.

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Source
http://dx.doi.org/10.13703/j.0255-2930.20201023-0001DOI Listing

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