Exploring the medication patterns of Chinese herbal medicine in treating Chronic Hepatitis B based on data mining techniques
Objective:This study aims to explore the medication patterns of Chinese herbal medicine in the treatment of Chronic Hepatitis B(CHB)using R data mining techniques,with the goal of providing more scientific guidance for clinical medication.Methods:Chinese literature databases such as CNKI,Wanfang,and VIP were searched to collect studies on the treatment of CHB with Chinese herbal medicine,covering databases like CNKI and Wanfang Data.R language was utilized for data analysis,including statistical analysis of the properties and meridian tropism,frequency statistics,association rule analysis,and cluster analysis.Results:A total of 1795 prescriptions were organized,including 569 Chinese herbal medicines with a medication frequency of 20300 times.Frequency statistics showed that drugs such as Salvia miltiorrhiza(Dan Shen)and Astragalus membranaceus(Huang Qi)were frequently used.Association rule analysis highlighted pairings such as Paeonia lactiflora(Chi Shao)-Salvia miltiorrhiza(Dan Shen)and Oldenlandia diffusa(Bai Hua She She Cao)-Salvia miltiorrhiza(Dan Shen).Cluster analysis divided the medicines into 15 clusters,including modified Qing Gan Jie Du Tang,Yi Guan Jian,modified Chai Hu Shu Gan San,An Luo Hua Xian Wan,Yin Chen Hao Tang and modified Yin Hu Tang,and modified Ban Xia Xie Xin Tang,clarifying the medication pattern rules for treating CHB with Chinese herbal medicine.Conclusion:By employing data mining techniques,this study uncovers the patterns of herbal medicine utilization in the internal treatment of CHB,offering both theoretical foundations and practical insights for its clinical management.
Chronic Hepatitis BChinese herbal treatmentdatabasedata miningmedication patternsR language
万方数据
维普
