ABSTRACT
Based on the software of traditional Chinese medicine inheritance support system (TCMISS), this article aims to analyze the experience and composition rules for cough from the descendant of Meng He Medical School, Xu Di-hua. The cough cases treated by Xu Di-hua were collected, and recorded into TCMISS (V2.0). Data mining methods such as Apriori algorithm and complex system entropy cluster were used to analyze the medication principles of Xu Di-hua for cough from pathogenesis and therapeutie aspects, and dig out the frequency of the herbs in prescription, core medicine and new combinations. The experience of curing cough from Professor Xu Di-hua were well found in the research. He is good at choosing prescriptions accurately, and pays attention to simultaneous use of cold and moisture drugs with combination of tonification and purgation. He is skilled in adding or reducing materia medica flexibly, as well as regulating lung to relieve cough and eliminating phlegm by clearing heat.
Subject(s)
Female , Humans , Male , Algorithms , Cough , Drug Therapy , Data Mining , Drug Therapy, Combination , Drugs, Chinese Herbal , Chemistry , Therapeutic Uses , Materia Medica , Medicine, Chinese TraditionalABSTRACT
The aim of this article was to investigate the mechanisms of emodin in antagonizing against organ fibrosis, and to illustrate that emodin can be an effective Chinese herbal preparation for treatment of organ fibrosis.