Medication rule of traditional Chinese medicine in the treatment of benign prostatic hyperplasia based on association rules and factor analysis
PANG Aibo
ZHANG Tongshuo
LYU Jungang
LING Cunbao
YU Fangfang
HUANG Wei
ZHANG Chunyan
TIAN Yaping
Abstract：Objective To analyze the medication rule of traditional Chinese medicine(TCM)compound prescriptions in the treatment of benign prostatic hyperplasia(BPH)in middle-aged and elderly people based on data mining technology.Methods Clinical research literature on the treatment of BPH with Chinese herbal compounds were retrieved from PubMed,CNKI,VIP,Wanfang,CBM,Embase and other databases from January 2012 to December 2022.The frequency of use,category,efficacy,four qi,five tastes and meridians of TCM were summarized.SPSS Modeler 18.0 association rule and factor analysis were used to explore the hidden TCM collocation.Results A total of 153 literatures were selected according to the criteria,and 173 Chinese herbal medicines were included.The ones with high frequency included Astragalus mongholicus,Poria cocos,peach kernel,cinnamon,Alismatis rhizoma,and Cornus officinalis.The main medicinal properties were flat and warm,the main medicinal flavors were sweet,bitter and pungent,they belonged to the liver meridian as the main medicine,and their efficacy was mainly diuretic and laxative,followed by discutient and aperients.Six clusters were formed by cluster analysis.In the association analysis,the highest support of the dichotomous association was the combination of golden cypress and Rhizoma Anemarrhenae,Sparganii Rhizoma and Curcuma;in the triple association,seven combinations such as Chinese yam,aconite,peony bark had the best confidence.Eight common factors were extracted from the factor analysis.Conclusion Chinese herbal medicine has good clinical effect in treating BPH,and cluster analysis and factor analysis can be used to guide safer and more rational clinical use of drugs.
Keywords：benign prostatic hyperplasiatraditional Chinese medicine compound prescriptionmedication ruledata mining
Publication Date：2024-07-28
Online Publishing Date：2026-08-26(First online date of this platform, not the publication date of the document)
Pages：7( 820-826 )