Research on the medication patterns of treating obesity in ancient literatures of traditional Chinese medicine based on data mining
Objective:To explore and organize the medical records of treating obesity in ancient medical records,analyze their medication patterns,and provide reference for clinical treatment of obesity related diseases.Methods:Search terms such as Feiren(肥人),Rouren(肉人),Gaoren(膏人),Zhiren(脂人),Tisheng(体盛)were inputted into the Chinese Medical Code(5th edition),and a full-text search of relevant literature was conducted on obesity treatment.Excel 2021 was used to collect and organize literature data.SPSS Statistics 26.0 and SPSS Modeler 18.0 were used to conduct statistical analysis,association rule analysis,and cluster analysis on the received drugs.Results:A total of 106 prescriptions were received,involving 68 traditional Chinese medicines,and the total frequency of medication was 501 times.The top 4 drugs with the highest frequency were Cangzhu(Rhizoma Atractylodis)74 times,Banxia(Rhizoma Pinelliae)51 times,Baizhu(Rhizoma Atractylodis Macrocephalae)35 times,and Tiannanxing[Rhizoma erubescens(Wall.)Schott]33 times.The statistical analysis results of the tropism of sexual taste to meridians showed that the main medicinal taste being warm,followed by cold and peaceful.In the statistical analysis of the five flavors,the majority were spicy,bitter,and sweet.The spleen meridian was the most common meridian,followed by the stomach and liver.Through association rule analysis,a total of 21 core drug combinations were obtained.System clustering analysis of high-frequency drugs resulted in three drug combinations.Conclusions:There is a certain regularity in the treatment of obesity in ancient literature,and the core drug combination mainly reflects the treatment of obesity in the aspects of clearing damp and promoting diuresis,strengthening the spleen and dispelling dampness.This has certain reference significance for the treatment of obesity in traditional Chinese medicine clinical practice,and provides data reference for the development of related innovative drug combinations.
Data miningAncient literatures of traditional Chinese medicineObesityMedication patterns
万方数据
维普
