[1] LIU BingyuWU QuanshengHUANG CancanLYU YinxinZENG YanZHANG Yang,.Research on Data Mining of Medication Rules for Treating Postpartum Diseases in Nv Ke Bai Wen [J]. Journal of Shaanxi University of Traditional Chinese Medicine, 2024, (03): 94-98. [doi: 10.13424/j.cnki.jsctcm.2024.03.013]
Research on Data Mining of Medication Rules for Treating Postpartum Diseases in Nv Ke Bai Wen
- Article number:
- 2096-1340(2024)03-0094-05
- Keywords:
- Key words：QI Zhongfu; Nv Ke Bai Wen; Postpartum diseases; Data mining; Medication patterns
- ZTFLH:
- R271.43
- Code:
- A
- Abstract:
- Abstract：Objective The purpose of this study is to explore the medication patterns of Nv Ke Bai Wen in the treatment of postpartum diseases based on data mining,and to summarize Qi Zhongfus academic ideas on postpartum diseases.Methods Organize the internal medication formulas for postpartum diseases in QI Zhongfus Nv Ke Bai Wen,establish a standard database,and conduct frequency statistics,cluster analysis,and association rule exploration on postpartum drugs.Results As a result,there were a total of 40 prescriptions for oral administration in Nv Ke Bai Wen,involving 112 traditional Chinese medicines,with a total frequency of 340 times.The main medications used are Licorice,Ginseng,and Cinnamon;It is often used in combination with spicy,sweet,and warm flavors;The spleen meridian is the most important meridian,followed by the heart and lung meridians.Exploring association rules resulted in 17 pairs of drug combinations,among which “Licorice- Peony”,“Licorice-Cinnamon”,and “Angelica sinensis-Cinnamon” had the highest support.Conclusion QI Zhongfu believes that the occurrence of postpartum diseases is closely related to the spleen and stomach.The core treatment idea is to “strengthen the postnatal environment to heal deficiency and damage,promote Qi and blood circulation to remove stasis,regulate the Ying and guard to combine Yin and Yang”,and flexibly use drugs according to the condition,without being bound by one prescription or method.
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Memo
基金项目：敦煌医学与转化教育部重点实验室2020年度专项课题（DHYX20-17）