Data mining and analysis of the rules of prescriptions in the treatment of epigastric pain in A Hundred Years of Traditional Chinese Medicine Clinicians in China / 国际中医中药杂志

Objective:To analyze the prescriptions for the treatment for epigastric pain in A Hundred Years of Traditional Chinese Medicine Clinicians in China. Methods:The clinical medical records of well-known TCM doctors for the treatment of epigastric pain were included in the A Hundred Years of Traditional Chinese Medicine Clinicians in China. The database of clinical prescriptions and medicines was built, and the ancient and the Ancient and Modern Medical Records Cloud Platform (V 2.1) was applied and the evaluation of drug efficacy, sex, taste, and menstruation were conducted. Descriptive analysis, association rules, hierarchical clustering, and complex network analysis were applied in the rule of medication, drug pairs and core prescriptions. Results:Data was cleaned according to the inclusion and exclusion criteria, and 270 prescriptions were collected, involving 265 kinds of drugs, and the cumulative frequency of drug use was 3 249. The analysis showed that the drugs commonly used by famous traditional Chinese medicine doctors for the treatment of epigastric pain were mainly warm drugs, tast-balance drugs, and mildly cold drugs. The main flavors of medicines were pungent medicines, bitter medicines, sweet medicines, and effects were mainly drugs that regulate qi, clear heat, and invigorate the spleen. The frequency of drug meridians mainly belonged to spleen meridian, stomach meridian, lung meridian, liver meridian, heart meridian. The effects of the drug were mainly to dry dampness, reduce side effects, regulate qi, clear heat, invigorate spleen, and soften liver and analgesics. Association rule analysis found that the commonly used drug pairs were Pinellia- Tangerine Peel, Atractylodes Macrocephala- Poria, Poria- Tangerine Peel, Atractylodes- Tangerine Peel, Amomum tangerine Peel, Ochre- generation- Inula, Rhizoma Coptis- Evodia, and so on. Cluster analysis showed that Liujunzi Decoction, Zuojin Pill, and Shaoyao Gancao Decoction were mainly used. The drug complex network diagram showed that the core prescription of the drug is Xiangsha Liujunzi Decoction. Conclusion:The well-known TCM doctor focuses on strengthening the spleen and regulating qi, reconciling qi and blood, The treatment identified that the mutual warming and clearing, tonifying and deoppilation, and neutral are the main principles.

Famous veteran traditional Chinese medicine doctors' medication rules in treating spermatorrhea / 中国中药杂志

To explore famous veteran traditional Chinese medicine( TCM) doctors' medication rules in treating spermatorrhea based on the medical cases about spermatorrhea collected from Hundred TCM Clinical Doctors of Hundred Years in China and Proven Cases and National Medical Master Test Case. Researchers extracted such data as medicinal and therapies from these cases according to the inclusion and exclusion criteria. Then,Excle 2010,SPSS Clementine 12. 0 and SPSS 22. 0 were adopted respectively for frequency analysis,association rules analysis,cluster analysis and factor analysis. Cluster analysis was carried out by Ochiai algorithm of binary variable data,one of the systematic clustering methods. And principal component analysis was used for factor analysis. Finally,27 medical cases and 41 prescriptions were included in total. The frequency analysis showed that the most common therapy was the astringent therapy( n = 28),which was followed by the tonifying method,tranquilizing method,heat-clearing method,damp-dispelling method and Qiregulating method. The top three kinds of high-frequency traditional Chinese medicines were Poria,Ostreae Concha and Dioscoreae Rhizoma. The association rules analysis found out 11 association rules of medicine pairs,23 association rules of medicine combinations of the three kinds of herbs and 6 association rules of medicine combinations of five kinds of herbs. Among them,the representatives were Rubi Fructus→Fossilia Ossis Mastodi,Rehmanniae Radix Praeparata + Corni Fructus→Dioscoreae Rhizoma,and Pinelliae Rhizoma→Citri Reticulatae Pericarpium,which showed the therapeutic characteristics of astringing,tonifying the kidney and replenishing essence,fortifying the spleen and dispelling dampness. Moreover,7 medicine groups with relevance were extracted from the tree map generated by cluster analysis,including " Phellodendri Chinensis Cortex and Anemarrhenae Rhizoma" and " Angelicae Sinensis Radix,Rehmanniae Radix,Bupleuri Radix and Glycyrrhizae Radix et Rhizoma",which demonstrated the effects of nourishing Yin and purging fire,tonifying and soothing the liver. Besides,totally 12 common factors were obtained according to factor analysis,including 14 drug combinations,like " Amomi Fructus,Anemarrhenae Rhizoma and Phellodendri Chinensis Cortex" and " Nelumbinis Stamen,Moutan Cortex,Poria and Scrophulariae Radix",which indicated the compatibility characteristics of tonifying the spleen and purging fire,dispelling dampness and clearing heat. In conclusion,data mining techniques( including frequency analysis,association rules analysis,cluster analysis and factor analysis) were used to comprehensively analyze the famous veteran TCM doctors' medication rules in treating spermatorrhea,which was helpful for guiding the clinical practice of treating spermatorrhea in TCM.

Research rules of famous veteran traditional Chinese medicine practitioners in treating infertility / 中国中药杂志

To explore the medication rules of famous veteran traditional Chinese medicine practitioners in treating infertility based on medical cases of infertility collected from book series of Hundred Traditional Chinese Medicine Clinicians of Hundred Years in China and Prescription Proven by Traditional Chinese Medicine Masters. Researchers extracted the information of prescriptions from these cases according to the inclusion and exclusion criteria. Then, Excel 2010, SPSS Clementine(ver.12.0) and SPSS(ver. 22.0) were adopted respectively for frequency analysis, association rules analysis, cluster analysis and factor analysis. Cluster analysis was carried out by Ochiai algorithm of binary variable data, which was a systematic clustering method. And principal component analysis was used for factor analysis. Besides, KMO test and Bartlett spherical test were used for factor adaptation test. Finally, 151 medical cases and 396 prescriptions were included in total. A total of 60 kinds of frequently used herbs were identified according to the results of frequency analysis for medication, they were mainly used for activating blood and resolving stasis, tonifying and clearing heat respectively. The association rules analysis found out 25 drug pair association rules and 14 3-drug combination association rules. A total of 15 medicine groups were extracted by cluster analysis. KMO test and Bartlett spherical test indicated that the method was suitable for factor analysis, and 21 common factors were respectively extracted by factor analysis. Association rules indicated the characteristics of the therapeutic methods, like tonifying Qi and replenishing blood. The famous veteran traditional Chinese medicine practitioners utilized modified Siwu Decoction for tonifying blood and preferred Atractylodis Macrocephalae Rhizoma(Baizhu) for tonifying Qi. The results of both cluster analysis and factor analysis demonstrated the characteristics of the therapies for tonifying kidney, activating blood, tonifying spleen and dispelling dampness. In addition, factor analysis could reflect the therapies for nourishing Yin, tonifying kidney, warming the meridian, dissipating cold, nourishing blood and dispelling blood stasis. These results of analysis comprehensively showed out the medication characteristics of famous veteran traditional Chinese medicine practitioners of strictly following the pathogenesis, making good use of classical formulas and providing proper compatibility. In conclusion, data mining techniques(including frequency analysis, association rules analysis, cluster analysis and factor analysis) were used to comprehensively analyze the medication rules of famous veteran traditional Chinese medicine practitioners in treating infertility, which is helpful for guiding the clinical practice of treating infertility with traditional Chinese medicine.

Medication rules of famous veteran traditional Chinese medicine doctor in treatment of chronic bronchitis based on implicit structure model / 中国中药杂志

To explore the medication rules of famous veteran traditional Chinese medicine (TCM) doctors in treatment of chronic bronchitis, a structured medical record database for famous veteran TCM doctors in modern clinical books was established. First, Lantern 3.1.2(Kongmin light) implicit structure analysis software was used to build an implicit structure model and make an implicit interpretation. Then, SAS 9.1 was adopted to mine herb-herb, herb-symptom and herb-syndrome association rules. Through the mining, 1 274 commonly used herbs for chronic bronchitis were found, including liquorice, bitter almond, pinellia, dried tangerine or orange peel, poria cocos. The medicine types included antiasthmatic medicine, qi-tonifying medicine, and heat-phlegm removing medicine. The medicine tastes included sweet, pungent and bitter. The meridian distributions included lung, spleen and stomach channels. The famous commonly used prescriptions included Xiaoqinglong decoction, Maxing Shigan decoction and Erchen decoction. The 147-herb implicit structure model for the first diagnosis was built to get 44 hidden variables, 88 hidden classes, 7 comprehensive clustering models, 9 dual herb associations, 50 triple herb associations and 89 quadruple associations. Totally 297 medical records for the second diagnosis were compared to obtain 24 herb-symptom associations, which reduced ephedra, bitter almond, pinellia and added poria cocos, atractylodes, dangshen, 20 dual herb associations and 8 triple herb associations. A model for the top 83 symptoms and top 96 herbs in the first diagnosis was built to get 50 hidden variables and 101 hidden classes. The commonly used herbs of famous veteran TCM doctors included bitter almond, pinellia, dried tangerine or orange peel, poria cocos, which feature mild property and sweet favor and enter lung, spleen, kidney meridians; the commonly herbal pairs included atractylodes and poria cocos, asarum, fructus schisandrae and pinellia, as well as poria cocos, dangshen, pinellia and dried tangerine or orange peel. The herb-syndrome associations involved ephedra, bitter almond, cassia twig and scanty sputum, pinellia and external cold and internal fluid syndrome, turbid phlegm obstructing lung syndrome and spleen deficiency syndrome, bitter almond and turbid phlegm obstructing lung syndrome, phlegm-heat accumulated in the lung and wind-cold invading the lung. The implicit structure model can be used to quantify tacit knowledge of TCM, extend to the herb and syndrome level for the first time, and quantify the major, minor and compatible statues of different variables in the same data. This study concluded that the medication rules of famous veteran TCM doctors in treatment of chronic bronchitis have certain reference value for the clinical diagnosis and treatment. The data sources, analysis methods and mining results were relatively reliable and objective, and can provide a reference for rules of other disease treatment based on syndrome differentiation.