Research on the combination rules of formulas contain Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases based on tree analysis algorithm
10.3760/cma.j.cn115398-20210511-00096
- VernacularTitle:基于方剂树形分析算法对《伤寒杂病论》中桂枝类方组方规律研究
- Author:
Xinyuan LIU
1
;
Yanhui XING
;
Qi YU
;
Yinghui WANG
;
Jundong ZHANG
;
Ye TIAN
;
Yimeng WANG
;
Yan HUANG
;
Jinghua LI
Author Information
1. 中国中医科学院中医药信息研究所2019级硕士研究生，北京 100700
- Keywords:
Shang Han Za Bing Lun;
Chinese medical formula;
Tree analysis algorithm;
Cmnamomi Mmulus;
Law of formula
- From:
International Journal of Traditional Chinese Medicine
2022;44(11):1292-1297
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To anylyze the combination rule of prescriptions containing Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases based on tree analysis algorith method. Methods:By collecting prescriptions contain Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases, and applying the tree analysis algorithm method on the Ancient and Modern Medical Case Cloud Platform to co-occurrence calculate each layer of the prescriptions, we got the hierarchical tree structure diagram of Cmnamomi Mmulus prescriptions. Results:79 prescriptions containing 96 medicines were included, which appeared 529 times, with 7 different functions. The medicines that are frequently appeared include Cmnamomi Mmulus, Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle, Zingiberis Rhizoma Recens, Jujubae Fructus, etc. The main effects include relieving the exterior, warming the meridians, warming yang and promoting diuresis. The tree structure diagram of the prescription is divided into seven layers, including the largest items of Cmnamomi Mmulus, Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle,Zingiberis Rhizoma Recens, Jujubae Fructus, Paeoniae Radix Alba, Ephedrae Herba, Puerariae Lobatae Radix, and the collateral drugs of Poria, Atractylodis macrocephalae rhizoma, Alismatis Rhizoma, Zingiberis Rhizoma, etc. Conclusion:The formula tree analysis algorithm can connect the correlation between drugs in series, and show the relationship between a series of high-frequency co-occurrence drugs in the formula, which can be used for the learning of classics.
