Analysis on the law of differentiating and treating insomnia by physicians based on cluster analysis of drug syndrome

Objective:To explore the general differentiation and treatment of insomnia by Professor Gao Ying through drug clustering and group correspondence analysis,and provide reference for clinical diagnosis and treatment.Methods:Collect retrospective case data from outpatient system,use SPSS20.0 software to perform frequency and cluster analysis on high-frequency symptoms and drug data,and perform corresponding analysis on the clustered drug syndrome groups.Results:A total of 349 consultations in 204 patients were included.Cluster analysis of 35 symptoms and 40 flavors with a frequency of more than 10%resulted in a corresponding relationship between 7 symptom groups,6 drug groups and 5 drug syndrome groups.The medicine symptom group has a high degree of matching;the doctors distinguish and tre at insomnia with calming,clearing heat,nourishing yin,liver,spleen,qi and phlegm as the core treatment,with consistent decoction,two to pill,lily ground Huang Tang,Lily Zhimu Decoction,Wendan Decoction,Sini San,Xiao Chai Hu Tang,Xiaoyao San,etc.are commonly used prescriptions;the physician's experience is to add or subtract Danshen and Zao Ren drink,which has a wide range of applicability to various insomnia syndrome.Conclusion:Based on the cluster analysis of drug symptoms and group correspondence analysis,it can reveal the pathogenesis,treatment and class information hidden in the data of drug symptoms,which can reflect the general law of physicians'syndrome differentiation and treatment of insomnia.This method has a reference for the exploration of TCM clinical experience significance;The results of this study can provide feedback to guide the clinical diagnosis and treatment of insomnia.

Based on data mining,the drug law of clinical treatment of chronic urticaria

Background:Based on clinical data mining,we introduce the medication rule and clinical application of Professor Wang Lifen in the treatment of chronic urticaria,as the reference of clinical treatment of chronic urticaria.Methods:we collected 110 traditional Chinese medicine prescriptions for the treatment of chronic urticaria,and found out tastes,functions and channel tropism of Chinese medicine.After collecting and sorting,we inputted the data into excel 2010 software and established drug electronic database.We calculated the frequency of tastes,functions and channel tropism using the Spss 20.0 and analyzed the potential relationship between the drugs using Weka 3.8.We used Cytoscape 3.6.1 to draw the related network and combine it into a new prescription.Then the clinical data of prescriptions were statistically analyzed.Results:The statistical analysis showed that the high-frequency drugs for the treatment of the disease were Gancao(Glycyrrhizae radix et rhizoma),Huangqin(Radix scutellariae),Desmopeel,Jingjie(Herba schizonepetae),parsnip,etc.,accounting for more than 69.50%of the total frequency.Moreover,the combination and drug pairs with the strongest and most commonly used high-frequency drugs were found.From the point of medicinal properties of these drugs in the treatment of chronic urticaria,the main drugs are cold,followed by warm and smooth,accounting for 70.75%of the total frequency.From the perspective of the efficacy of these drugs in the treatment of chronic urticaria,heat-clearing drugs are the main ones,followed by relieving drugs and Tonic drugs,accounting for 68.25%of the total frequency.From the perspective of medicine taste,sweet taste is the most important,followed by bitter and pungent taste,accounting for 68.00%of the total frequency.From the perspective of drugs channel tropism,the meridian of spleen is the most important,followed by the meridian of lung,liver,heart,stomach,etc.,accounting for 71.62%of the total frequency.Conclusion:According to the data mining results,traditional Chinese medicine treatment of chronic urticaria is mainly based on dispelling wind,clearing heat and removing dampness,cooling blood and detoxifying,supplemented by nourishing blood and nourishing deficiency.This data mining conforms to the law and principle of traditional Chinese medicine treatment of chronic urticaria,which has certain reference and enlightenment significance for clinical treatment of chronic urticaria.

Study on syndrome differentiation based on pharmacology of syndrome management system-a case of Qi and Yin deficiency syndrome

Taking the Qi and Yin deficiency syndrome as an example,the research method of pharmacology of syndrome management system was proposed.By means of text mining,systematic pharmacology and target analysis,to attempt to reveal the essence of the corresponding syndrome by studying the drugs and targets of Qi and Yin deficiency.Fourteen Chinese herbs treating Qi and Yin deficiency were retrieved and used more than 30 times,and 9,317 related targets were predicted.The common targets of action were 85.Topological analysis was carried out by using degree centrality,closeness centrality and betweenness centrality to confirm that estrogen receptor(ESR1),tumor necrosis factor(TNF),D(2)dopamine receptor(DRD2),vitamin D3 receptor(VDR),glucocorticoid receptor(NR3C1),acetylcholinesterase(ACHE)and endothelin-1(EDN1)were highly correlated with Qi and Yin deficiency syndrome.Through the target to find Qi and Yin deficiency syndrome corresponding to 17 categories of diseases.A new idea was provided for studying the biological essence of TCM clinical syndrome differentiation.

Study on the Drug Selection Law for Treatment of Chronic Gastritis with Spleen Deficiency and Stomach Dryness by Complex System Entropy Cluster

Objective:To study on Prof. GAO Zhong-ying’s drug selection law for treatment of chronic gastritis with data mining technique. Methods: The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mining method. Among them, the recipe composed of one drug was studied with frequency statistical method, correlativity between drug pairs with improved mutual information, correlativity among multi-drugs with complex system entropy cluster technique. Results: In treatment of chronic gastritis by Prof. GAO Zhong-ying there were 30 drugs with a higher use frequency of over 38 times, 94 commonly-used drug pairs with correlation coefficient of over 0.05, 11 commonly-used drug core combinations. Conclusion: The results attained with data mining technique for studying experience of famous and old TCM physicians conform to the clinical practice and the method is of an important significance for summarization of famous and old TCM physicians’ experiences.