Logistic Regression Analysis on Prescriptions Composition Principles of Famous Veteran Teran Doctors Treating Rheumatic Heart Disease by Traditional Chinese Medicine
Xu Liang
Chen Shouqiang
Hou Jianhui
Bi Wenxia
Abstract：Objective To analyze the prescriptions composition principles of famous veteran teran doctors treating rheumatic heart dis-ease by traditional Chinese medicine(TCM).Methods Input the 531 proven cases record of famous veteran teran doctors to the analysis software of proven cases,and export data to SAS software,then make the logistic regression analysis of the 35 kinds of drugs which frequency is more than 10%.Then excavating the rule of using Chinese medicine synthetical y by analyzing the common index and specificity index.Results The frequency of astragalus membranaceus,salvia miltiorrhiza,poria cocos,cassia twig and monkshood were highest.In logistic regression analysis,10 kinds drugs are statistical y significant,including cassia twig,monkshood,radix po-lygonati officinalis and so on.Conclusion Taking common index and specificity index into consideration,famous veteran teran doc-tors wil use specific treatment on the basis of nourishing qi and activating circulation therapy,such as warm yang and dissipate cold, nourish yin and engender liquid and disinhibit water and percolate dampness therapy.
Keywords：rheumatic heart diseasefamous veteran teran doctors of traditional Chinese medicineLogistic regression analysiscommon indexspecificity index
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 515-517 )