现代医药卫生2024，Vol.40Issue(14)：2344-2348,5.DOI:10.3969/j.issn.1009-5519.2024.14.002
基于数据挖掘分析古方治疗乳腺癌的用药规律
Analysis the medication rules of ancient prescriptions for breast cancer based on data mining
摘要
Abstract
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.关键词
乳腺癌/中药/方剂/数据挖掘/用药规律Key words
Breast cancer/Traditional Chinese medicine/Prescriptions/Data mining/Medica-tion rule分类
医药卫生引用本文复制引用
崔闯,朱为康,李心怡,郭鹏,陆俊骏,陈皖晴,武悦,徐静,毛俊华..基于数据挖掘分析古方治疗乳腺癌的用药规律[J].现代医药卫生,2024,40(14):2344-2348,5.基金项目
上海市科学技术委员会医学创新研究专题项目(20Y21902600) （20Y21902600）
上海医学创新发展基金会中医药科技发展项目(WL-LXBB-2021002K （）
WL-HBMS-2022008K). （）
