Exploring the pattern of identification and use of drugs in the treatment of menstrual disorders by Yang Jialin based on data mining
DOI: 10.23977/medsc.2024.050519 | Downloads: 0 | Views: 81
Author(s)
Ye Xiaolei 1,2, Li Shimei 2, Wang Suli 2, Zhang Caiqing 2
Affiliation(s)
1 Shaanxi University of Traditional Chinese Medicine, Xianyang, 712046, China
2 986th Hospital of Plaaf, Xi'an, 710054, China
Corresponding Author
Zhang CaiqingABSTRACT
The objective of the paper is to use the Chinese medicine inheritance auxiliary platform (V2.5) to explore the rules of medication used by Professor Yang Jialin, a national famous veteran Chinese medicine practitioner, in the treatment of menstrual disorders. The method applied in this paper is to read and collect the prescriptions of 'China's Modern Hundred Chinese Medicine Clinicians-Yang Jialin' for the treatment of menstrual diseases, to establish a database of prescriptions by using the Chinese Medicine Inheritance Auxiliary Platform (V2.5), and to carry out the statistics and analysis of the data by frequency counting analysis, correlation rules, and clustering analysis. A total of 18 formulas were selected from the book, 71 flavours of drugs were used, and the total number of times they were used was 206. The top ten most frequently used drugs were, in descending order, white peony, angelica sinensis, wolfberry, ligusticum chuanxiong, chickweed vine, cuscuta, chaihu, ripened diclofenac, motherwort, and cimicifuga; the drug meridians were liver meridian, followed by spleen and kidney meridians; the four qi of the drug were cold and warm, followed by flatness; and the flavours of the drug were sweet and bitter, followed by pungent and acidic flavours. Twenty-three drug combinations were obtained by association rule analysis; six core drug groups and three new prescriptions were obtained by cluster analysis. The conclusion of this thesis is that the academic characteristics of Professor Yang Jialin's treatment of menstrual disorders are: emphasis on the liver, spleen and kidneys, and treatment according to different age groups; classification of menstrual disorders as either too much or too little, and either passage or regulation according to the menstrual cycle; and the use of medication based on the Four Substance Soup, with a great deal of emphasis on qi and blood.
KEYWORDS
Menstrual disorders; medication patterns; data mining; Yang JialinCITE THIS PAPER
Ye Xiaolei, Li Shimei, Wang Suli, Zhang Caiqing. Exploring the pattern of identification and use of drugs in the treatment of menstrual disorders by Yang Jialin based on data mining. MEDS Clinical Medicine (2024) Vol. 5: 137-144. DOI: http://dx.doi.org/10.23977/medsc.2024.050519.
REFERENCES
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[2] Yang Jialin. Yang Jialin [M]. Beijing: China Traditional Chinese Medicine Press, 2009. 11.
[3] Li J, Shi JF, Nie X, et al. Research on the mechanism of action of Siwu Tang for primary dysmenorrhoea based on network pharmacology [J]. Chinese Journal of Traditional Chinese Medicine, 2019, 44(03):559-565.
[4] Zhu Min, Duan Jin Gran, Tang Yu Ping, et al. Effects of Siwu Tang and its group formulae of drug pairs and flavours on primary dysmenorrhoea model in mice [J]. Chinese Journal of Experimental Formulas, 2010, 16(18):109112.
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