scholarly journals Analysis on the Medication Rule of Famous Old TCM Doctors in the Treatment of Cervical Spondylosis Based on Data Mining

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Huaijing Wang ◽  
Zhongyi Zhu ◽  
Ping Wang ◽  
Bifeng Fu

Purpose — To use data mining methods to study the medication rules of famous and old traditional Chinese medicine (TCM) doctors in the treatment of cervical spondylosis. Methods — To search and collate the experience books of Chinese medicine masters, published journal literature and shared medical cases of national famous TCM studios, screen the data of famous TCM treatment of cervical spondylosis, standardize the medical case database, standardize the name of medicine, analyze the medication rules of traditional Chinese medicine by using frequency analysis, cluster analysis and association rule analysis, and obtain the medication frequency and syndrome treatment points Cloth, medicine, core prescription, etc. Results — Among the 199 prescriptions collected, 218 Chinese medicines were involved, with a total frequency of 2461. Among them, 33 Chinese medicines are with a frequency of more than or equal to 20. Glycyrrhiza uralensis, Angelica sinensis, Ligusticum chuanxiong, Pueraria lobata, Radix Paeoniae Alba, astragalus, Poria cocos, Rhizoma Notopterygii and Carthamus tinctorius ranked in the top 10, and the drugs of Invigorating Qi and activating blood circulation had the highest frequency. There are 7 kinds of drugs in cluster analysis, 10 drug pair association rules and 60 drug group association rules. Conclusion — In the treatment of cervical spondylosis with traditional Chinese medicine, the famous old TCM doctor mainly uses the methods of Invigorating Qi and promoting blood circulation, invigorating liver and kidney, eliminating wind and dampness, resolving phlegm and dredging collaterals, which further proves that the main etiology and pathogenesis of cervical spondylosis is deficiency and excess. In the treatment, we should pay attention to invigorating Qi and nourishing blood, and taking into account cold and dampness.

2013 ◽  
Vol 765-767 ◽  
pp. 282-285
Author(s):  
Zhi Guo Dai ◽  
Yang Yang Han

Study on the applications of association rule mining in traditional Chinese medicine (TCM) knowledge and experience is carried out in this paper. The association rules of disease symptoms and syndrome differentiation, syndrome differentiation and prescription, disease symptoms and prescription are mined by analyzing the cases of patients with chronic gastritis, and then the mined association rules are interpreted that provide the beneficial reference for data mining technology in TCM.


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