Analysis the medication rules of ancient prescriptions for breast cancer based on data mining
Objective To explore the medication rules of ancient prescriptions in the treatment of breast cancer by using the methods of statistics and data mining,so as to provide some reference for the current clini-cal practice.Methods A total of prescriptions for the treatment of mastitis from Jin Dynasty to Tang Dynasty were included in the analysis by computer retrieval of Chinese prescription database,China National Knowl-edge Infrastructure,VIP database,Wanfang database and manual review of ancient books.Microsoft Excel 2021,SPSS Statistic 24.0 and SPSS Modeler 18.0 were uesd for frequency,clustering and correlation analysis.Results A total of 29 ancient prescriptions of traditional Chinese medicine were included in the analysis.The total frequency of drug use was 191 times,and the ancient prescriptions involved 93 flavors of traditional Chi-nese medicine.The most commonly used traditional Chinese medicine categories in the ancient prescriptions are tonic drugs,heat-clearing drugs,and exterior-relieving drugs.24 traditional Chinese medicines such as lico-rice,rhubarb,and wind-proof are high-frequency drugs,accounting for 54.97%of all involved flavors.The me-dicinal properties are mostly cold,the flavors are mainly sweet and bitter,and the meridians are mainly spleen,heart,and lung.The results of cluster analysis of high-frequency drugs formed three new prescriptions,associ-ation rule analysis,support≥10%,and 13 common core drug combinations and 14 association rules were ob-tained.Conclusion In the treatment of breast cancer,the ancient prescriptions are mainly based on the princi-ples of replenishing qi and nourishing blood,soothing liver and relieving depression,clearing heat and detoxif-ying.
Breast cancerTraditional Chinese medicinePrescriptionsData miningMedica-tion rule
国家科技期刊平台
NSTL
万方数据
