Analysis on medication rules of Xin'an medicine for treatment of melancholia administered by physicians in the Ming and Qing dynasties based on R language data mining / 中国基层医药

Objective:To investigate the medication rules of Xin'an medicine for the treatment of melancholia and further analyze the medication ideas of Xin'an physicians in the treatment of melancholia.Methods:The documents of Xin'an physicians treating melancholia in the fifth edition of the Chinese Medical Code and the online database of ancient Chinese medicine were retrieved. Excel was used to extract the prescription information to establish the database. R language was used to analyze the data regarding the medication frequency, nature and taste, association rules, and clustering of the traditional Chinese medicine used in the prescription. Results:A total of 127 effective prescriptions were sorted out, and 177 kinds of Chinese medicines were used with a total medication frequency of 1 031 times. The top three Chinese medicines with the highest frequency of use were Poria cocos (57 times), Licorice (46 times), and Paeonia Lactiflora (40 times). The main nature of herbs was plain and warm nature. The warm herbs were the most frequently used (298 times). The first five flavors of the herbs which were the most used were pungent taste (475 times, 28.70%), bitter taste (459 times, 27.73%), and sweet taste (453 times, 27.37%). The commonly used herbs with confidence coefficient > 0.800 were Licorice + Angelica sinensis, Licorice + Angelica sinensis and Paeonia Lactiflora, Licorice + Bupleurum, Licorice + Atractylodes macrocephala, Cyperus root + Ligusticum Chuanxiong, Angelica sinensis + Atractylodes macrocephala and Licorice, Paeonia Lactiflora + Angelica sinensis and Poria cocos, Licorice + Angelica sinensis and Poria cocos, Licorice + Atractylodes macrocephala and Angelica sinensis, Licorice + Bupleurum and Paeonia Lactiflora, Licorice + Atractylodes macrocephala and Ginseng, Licorice + Ginseng and Angelica sinensis, Cyperus root + Medicated leaven, Ginseng + Astragalus mongholicus, Licorice + Astragalus mongholicus.Conclusion:Xin'an medicine for the treatment of melancholia mainly uses pungent, bitter, sweet, and warm herbs. It can adjust the chill and fever, Yin and Yang of the human body, diminishes the urgency, and regulates the flow of Qi.

Visualization analysis of bibliometrics for clinical researches on Wumei pill based on CiteSpace / 国际中医中药杂志

Objective:To summarize the clinical researches of Wumei Pill and provide reference for clinical application and follow-up research.Methods:The databases CNKI, VIP, Wanfang, CBM, PubMed, Embase were retrieved from the inception to June 30,2022. CiteSpace 6.1.R3 software was used to analyze the research hotspots and keywords in the literature. Using EndNote X9 software and Microsoft Office Excel 2013, we recorded and analyzed the published year, literature type, affiliated journal, disease treated, TCM syndrome type, single drug dose and treatment duration of the included articles.Results:212 articles were included. Diarrhea, gastritis, diabetes, insomnia were the research hotspots. The types of diseases treated by Wumei Pill mainly include digestive system, endocrine system and tumor, mainly for cold-heat syndrome and Jueyin syndrome. The average dosage of Mume Fructus was the largest, 21 g. The average treatment time was 5.78 weeks. Conclusion:At present, the overall clinical research of Wumei pill shows an increasing tendency, mainly involving gastrointestinal disease.

Study on medication rule of TCM fumigation and washing in promoting the postoperative healing of hemorrhoids / 国际中医中药杂志

Objective:To analyze the medication law of Traditional Chinese Medicine (TCM) fumigation and washing to promote postoperative healing of hemorrhoids by data mining technology.Methods:The clinical literature about TCM fumigation and washing to promote postoperative healing of hemorrhoids was retrieved from the databases of CNKI, Wanfang, VIP, PubMed from the establishment of the databases to March 10, 2022. The frequency efficacy attributes, core medicinal pairs and core prescriptions of TCM were analyzed by using the Ancient and Modern Medical Records Cloud Platform (V2.3.5).Results:A total of 299 articles were included, involving 200 kinds of Chinese materia medica. The drugs used at high frequency ≥40 were Sophorae Flavescentis Radix, Phellodendri Chinensis Cortex, Natrii Sulfas, Galla Chinensis and Rhei Radix et Rhizoma and so on. The main efficacy was to clear heat and reduce dampness; cold, warm and slightly cold were the main medicinal properties, and the tastes were mainly bitter, pungent, sweet and sour, and most of the drugs return to the liver meridian, stomach meridian, heart meridian, large intestine meridian and so on. A total of 22 rules were obtained by correlation analysis. Five groups of drugs were obtained by clustering analysis. The core prescription drugs obtained by complex network analysis included Sophorae Flavescentis Radix, Phellodendri Chinensis Cortex, Natrii Sulfas, Galla Chinensis, Rhei Radix et Rhizoma, Taraxaci Herba, Borneolum Syntheticum, Sanguisorbae Radix, Atractylodis Rhizoma, Carthami Flos, Scutellariae Radix, Olibanum, Myrrha, and Lonicerae Japonicae Flos. Conclusion:TCM fumigation and washing can promote the postoperative healing of hemorrhoids mainly by clearing heat and reducing dampness and detoxification, as well as promoting blood circulation and removing blood stasis, reducing swelling and relieving pain, restraining sore and generating muscle.

Research on the rules of Traditional Chinese Medicine prescriptions of gastroesophageal reflux disease based on Ancient and Modern Medical Records Cloud Platform / 国际中医中药杂志

Objective:To explore the rules of Traditional Chinese Medicine (TCM) prescriptions of gastroesophageal reflux disease based on Ancient and Modern Medical Records Cloud Platform.Method:The relevant medical cases from ancient medical case database, modern medical case database, shared medical case database and famous doctors' medical case database in Ancient and Modern Medical Records Cloud Platform (V2.3.8) were selected, and frequency analysis, attribute analysis, association analysis, cluster analysis and complex network analysis were performed on the herbs.Results:A total of 107 medical records were obtained, including 225 TCMs. The core medicines were Radix et Rhizoma Glycyrrhizae, Pericarpium Citri Reticulatae, Rhizoma Coptidis, Poria, and Fructus Evodiae. The drug property was mainly cold and warm, and the herbal tastes bitter and pungent. The meridian tropism of drugs mainly manifested in the spleen and stomach meridians. The core herbal pairs were Radix et Rhizoma Glycyrrhizae and Pericarpium Citri Reticulatae. The core prescription consisted of 17 herbs including Radix Glycyrrhizae, Pericarpium Citri Reticulatae, Rhizoma Coptidis, Fructus Evodiae, Poria, Endoconcha Sepiae, Herba Taraxaci, Fructus Aurantii, Radix Paeoniae Alba, Radix Bupleuri, Jiang Banxia, Rhizoma Cyperi, Radix Aucklandiae, Caulis Bambusae In Taenia, Fructus Aurantii Immaturus, Fructus Amomi, and Rhizoma Atractylodis Macrocephalae. Conclusions:Chinese medicine treatment of gastroesophageal reflux disease is mainly based on Chaihu Shugan Powder, Zuojin Pill, and Wendan Decoction. Moreover, we need to combine with clinical symptoms to add or subtract herbs.

Analysis on the medication rules of Pu Ji Fang for treating acne externally based on data mining / 国际中医中药杂志

Objective:To analyze the medication rules in the ancient book Pu Ji Fang for the external treatment of acne based on data mining method. Methods:By screening out the methods of treating acne externally in Pu Ji Fang and establishing a standardized medical record database, this paper adopted the web version of Ancient and Modern Medical Record Cloud Platform to calculate the frequency, properties, flavors, and meridians of those medicines, and conduct cluster analysis by using IBM SPSS Modeler 18.0 software to analyze the association rules. Results:A total of 87 prescriptions were selected, including 164 kinds of Chinese materia medica, among which. Radix Angelicae, Ligusticum Wallichii, Rhizoma Typhoni and lead powder are frequently appeared. The properties of those medicines are mainly warm, cold and mild; the flavors of those medicines are mainly spicy, acrid, sweet and bitter, and the meridians mainly belongs to lung, spleen, stomach and liver meridians. The medical pair and group with the strongest associationion are Ligusticum Wallichii- Radix Angelicae and Rhizoma Typhonii- Radix Angelicae- Ligusticum Wallichii. Those freuently appeared medicines could be grouped into three categories. The paste dosage that was frequently appeared has strong correlation with tallow, mercury and lead powder, while the powder dosage that was frequenctly appeared has strong correlation with Angelica Dahurica, Radix Saponicae, Gleditsia sinensis, Radices Ligustici Sinensis and Ligusticum Wallichii. Conclusions:The application of data mining method could preliminarily reveal the medication rules of Pu Ji Fang for the external treatment of acne. The main treatment method is XinSanFaYue. The three categories of Chinese materia medica are used to treat the syndrome of asthenic habitus attacked by exogenous pathogenic factors, exterior attacked by wind heat and hot blood stasis respectively, showing the rules of treating acne externally before Ming Dynasty and providing references for the clinical treatment of acne.

Study on the Medication Rule of the National Patent of Traditional Chinese Medicine Compound Formula in the Treatment of Depression / 中医杂志

ObjectiveTo explore the medication rules of traditional Chinese medicine compounds for depression in the National Patent Database using data mining， and to provide ideas for the clinical treatment and the development of new drugs for depression. MethodsThe patent data of traditional Chinese medicine compounds for the treatment of depression were searched from inception to July 1st， 2022 on the Patent Publication Announcement website of China National Intellectual Property Administration. The selected traditional Chinese medicine compounds were analyzed by using the data mining section of the ancient and modern medical record cloud platform （V2.3.5） for drug frequency， and based on this， the nature， flavor， channel entry and function of the medicinals were analyzed. Representative high-frequency herbal combinations were obtained through correlation analysis， while the classification of Chinese medicine compounds for depression was analyzed by cluster analysis， and the core combinations of herbs for the treatment of depression were screened out using complex network analysis. ResultsA total of 325 Chinese medicine compounds were included， involving 452 herbs， with a total frequency of 3532 times. The top 10 mostly used herbs were Yujin （Radix Curcumae， 122 times）， Chaihu （Radix Bupleuri， 122 times）， Baishao （Radix Paeoniae Alba， 109 times）， Suanzaoren （Spina Date Seed， 95 times）， Fuling （Poria， 94 times）， Danggui （Radix Angelicae Sinensis， 94 times）， Yuanzhi （Radix Polygalae， 84 times）， Baizhu （Rhizoma Atractylodis Macrocephalae， 72 times）， Shichangpu （Rhizoma Acori Graminei， 71 times）， and Danshen （Salvia Miltiorrhiza， 61 times）. The natures of the herbs were mainly warm （998 times）， neutral （944 times）， slightly cold （596 times） and cold （497 times）； the flavors were mainly sweet （1648 times）， acrid （1392 times）， and bitter （1337 times）； the channels of entry were mainly liver （1695 times）， heart （1521 times）， spleen （1326 times） and lung （1268 times）. The medicinals with the function of soothing liver to relieve constraint， moistening the intestines to promote defecation， calming the heart and the mind， moving qi to relieve constraint were used more frequently. The high frequency herbal combinations by association analysis included “Chaihu （Radix Bupleuri）→ Baishao （Radix Paeoniae Alba）”， “Danggui （Radix Angelicae Sinensis）→Chaihu （Radix Bupleuri）” and “Baishao （Radix Paeoniae Alba）→ Yujin （Radix Curcumae）”. The 22 high frequency medicinals used more than 40 times could be clustered into six categories. Complex network analysis found the core herbal combination for the treatment of depression was the formula of Chaihu （Radix Bupleuri）， Yujin （Radix Curcumae）， Baishao （Radix Paeoniae Alba）， Danggui （Radix Angelicae Sinensis）， Fuling （Poria）， Suanzaoren （Spina Date Seed）， and Xiangfu （Cyperi Rhizoma）. ConclusionTraditional Chinese medicine compounds for the treatment of depression is mainly based on the pathogenesis of constraint， stasis and deficiency， focusing on the liver， heart， spleen and lung， commonly using medicinals with the function of soothing liver to relieve constraint， fortifying spleen and nourishing heart， regulating qi and invigorating blood， and moistening the intestines to promote defecation， which can provide a reference for the clinical treatment and new drug research and development for depression.

Medication Rules and Academic Experience of Professor WANG Xingkuan in Treatment of Chest Stuffiness and Pain Based on Data Mining / 中国实验方剂学杂志

ObjectiveTo study the medication rules of Professor. WANG Xingkuan and inherit his academic experience in the treatment of chest stuffiness and pain with the aid of the Traditional Chinese Medicine Inheritance Computing Platform V3.0 （TCMICS V3.0）. MethodThe original medical records of patients with angina pectoris in coronary heart disease （CHD） diagnosed and treated by Prof. WANG in the outpatient department of Hunan University of Chinese Medicine from 2017 to 2020 were collected and entered into the TCMICS V3.0. The rules of prescriptions and drugs were analyzed by the software. ResultA total of 1 044 prescriptions of Prof. WANG for the treatment of chest stuffiness and pain were collected. Most of the drugs were sweet and bitter in flavor and mainly acted on the lung meridian， followed by heart， spleen， liver， stomach， and kidney meridians. Among the prescriptions， Shengmaisan was the most commonly used classic prescription， and Xintongling No. Ⅲ was the top experienced prescription. High-frequency drugs mainly included Ophiopogonis Radix， Pinelliae Rhizoma， Salviae Miltiorrhizae Radix et Rhizoma， Trichosanthis Pericarpium， Coptidis Rhizoma， Schisandrae Chinensis Fructus， and Bupleuri Radix. The common doses of drugs were 3， 5， 10， and 15 g. The analysis of formulation rules revealed 129 combinations of common drugs， 58 combinations with confidence > 0.99， and the core drugs of common syndromes. Six core drug combinations were obtained by drug clustering. ConclusionProfessor WANG treats chest stuffiness and pain based on syndrome differentiation following the principles of benefiting Qi， nourishing Yin， eliminating phlegm， resolving stasis， soothing liver， and promoting bile secretion， reflecting his academic idea of "regulation of multiple organs and comprehensive treatment". The core prescriptions can be used for reference by clinical practitioners， but further clinical and experimental studies are still needed to verify their efficacy.

Medication rules of traditional Chinese medicine compounds for pain / 中国中药杂志

The present study collected data on traditional Chinese medicine(TCM) compounds effective in relieving pain from the patent database of the State Intellectual Property Office(SIPO), sorted out the TCM compounds against pain in patents, and analyzed the medication rules to provide references for the research and development of new TCM drugs against pain. The data were subjected to frequency statistics, association rules, cluster analysis, and complex network analysis by IBM SPSS Modeler 18.3 and SPSS Statistical 26.0. The results showed that among the 101 oral prescriptions included in the statistics, the top 5 drugs were Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix, Paeoniae Radix Alba, Chuanxiong Rhizoma, and Salviae Miltiorrhizae Radix et Rhizoma, and among the 49 external prescriptions included in the statistics, the top 5 drugs were Myrrha, Olibanum, Angelicae Dahuricae Radix, Borneolum Syntheticum, and Chuanxiong Rhizoma. Whether oral or external prescriptions, the drugs were mainly warm in nature, and bitter, pungent, and sweet in flavor. According to TCM complex network analysis, the core drugs were Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix, Paeoniae Radix Alba, and Chuanxiong Rhizoma in oral prescriptions, and Olibanum, Myrrha, Glycyrrhizae Radix et Rhizoma, Chuanxiong Rhizoma, and Angelicae Sinensis Radix in external prescriptions. Overall, the therapeutic principles of oral prescriptions were mainly replenishing Qi, nourishing blood, and promoting Qi and blood circulation, while those of external prescriptions were activating blood, resolving stasis, promoting Qi flow, and relieving pain on the basis of the oral prescriptions. In the future research and development of TCM compounds against pain, the prescriptions should be modified with mind-tranquilizing and depression-relieving drugs. With the modernization of TCM, the development of new pain-relieving TCM compound patents based on ancient methods and clinical experience adhering to the guidance of TCM treatment based on syndrome differentiation can meet the new demand for pain treatment in the current society and give full play to the advantages of TCM in pain treatment.

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.

Analysis of the medication rules and academic thoughts of Traditional Chinese Medicine in the treatment of premature ejaculation based on the ancient Chinese medicine books / 国际中医中药杂志

Objective:To explore the medication and prescription rules in ancient Chinese medicine books in the treatment of premature ejaculation based on Traditional Chinese Medicine (TCM) Inheritance Supporting Platform.Methods:Search for the relevant literature concerning treating premature ejaculation with TCM in the ancient books before 1949, conduct data mining with Traditional Chinese Medicine Inheritance Supporting Platform, analyze the medication and the prescription rules, so as to summarize the academic thoughts of the ancient physicians in treating premature ejaculation.Results:Among 39 selected eligible ancient books, a total of 45 prescriptions were included, involving 118 kinds of Chinese medicines. Among them, 14 Chinese medicines were used more than 10 times. The top five Chinese medicines were Ginseng radix et rhizoma, Schisandrae chinensis fructus, Dioscoreae rhizoma, Polygalae radix, Atractylodis macrocephalae rhizoma; in the classification of Chinese medicines tonic Chinese medicine, tranquilizers, and astringent are used frequently. The most frequently used Chinese medicine pairs were Corni fructus- Ginseng radix et rhizoma, Ginseng radix et rhizoma- Dioscoreae rhizoma, Ginseng radix et rhizoma- Atractylodis macrocephalae rhizoma; 33 core combinations of 3 Chinese mediciness and 4 core combinations of 4 Chinese medicines were obtained. Conclusion:The medication that could treat premature ejaculation in the ancient TCM books are mainlythe kidney, liver, and heart meridian. The main principle is to invigorate the kidney, replenish the essence, and replenishing qi and soothing the nerves. It can provide reference for clinical treatment of premature ejaculation.

Research on the rule of ancient prescriptions of yin deficiency syndrome / 国际中医中药杂志

Objective:The data mining method was used to analyze the medication rules of the ancient prescriptions for yin deficiency syndrome, so as to provide reference for clinical treatment of yin deficiency syndrome.Methods:We searched the database of ancient prescriptions, selected the prescriptions for yin deficiency syndrome, used the Ancient and Modern Medical Case Cloud Platform V2.2.3 to count the frequency and attribute of drug use, and carried out hierarchical cluster analysis to find the core prescription. MATLAB was used to analyze the association rules, and the law of drug compatibility was found. The Pajek64 5.13 was used for complex network analysis to find out the core traditional Chinese medicine.Results:There were 467 prescriptions that meet the requirements, 302 kinds of drugs were used in total. The four properties of the drugs were mainly cold, the five flavors mainly sweet, the meridian of the drugs mainly kidney meridian. The core drugs were Rehmanniae Radix Praeparata, Ophiopogonis Radix, Rehmanniae Radix, and Poria. The most commonly used drug pair was Dioscoreae Rhizoma- Rehmanniae Radix Praeparata, the second was Corni Fructus- Rehmanniae Radix Praeparata, Poria-Rehmanniae Radix Praeparata. The commonly used drugs can be clustered into two categories. Conclusion:We can preliminarily reveal that the ancient medication law of yin deficiency syndrome is mainly nourishing Yin liquid and reducing fire, paying attention to nourishing kidney yin, using Yin nourishing medicine often combined with medicine of tonifying lung, liver, spleen yin and diverging to reduce fever. It can provide certain reference for clinical treatment of yin deficiency syndrome.

Based on the Ancient and Modern Medical Records Cloud Platform to dig the Medication rules of Traditional Chinese Medicine in the treatment of ulcerative colitis / 国际中医中药杂志

Objective:The medical records collected on the Ancient and Modern Medical Record Cloud Platform were used to explore the medication rules of Traditional Chinese Medicine for the treatment of ulcerative colitis.Methods:By selecting the medical cases of the modern medical database and medical cases of famous doctors in the ancient medical database on the cloud platform to analyze the frequency, attribution, association, and complex network of those medicines.Results:A total of 209 medical records were obtained, including 319 Traditional Chinese Medicines, of which the core medicines were Rhizoma Coptidis, Radix Aucklandiae, Poria, Radix Paeoniae Alba, and Radix Glycyrrhizae. The properties of those medicines were warm, mild, and cold. The main taste is bitter and sweet, and most of them attibute to spleen, stomach, and liver meridians. The core pair medicine is Radix Aucklandiae-Rhizoma Coptidis. The core prescription was composed of nine herbs including Rhizoma Atractylodis Macrocephalae, Radix Paeoniae Alba, Radix Scutellariae, Radix Aucklandiae, Rhizoma Coptidis, Radix Glycyrrhizae, Radix Pulsatillae, Poria, and Radix Codonopsis. Conclusion:The treatment of ulcerative colitis with Traditional Chinese Medicine mainly include Sijunzi Decoction and Xianglian Pill, accompanied with those medicines which could clear heat with detoxication function, cool the blood and stop diarrhea, By doing so, ulcerative colitis could be treated both in the surface and the root.

The rule of Traditional Chinese Medicine compounds for acute pancreatitis analyzed based on the National Patent Database / 国际中医中药杂志

Objective:Based on the Ancient and Modern Medical Record Cloud Platform, we aimed to analyze the rules of TCM compound patents for the treatment of acute pancreatitis.Methods:Compound patents for acute pancreatitis were retrieved from the National Patent Database. After the steps of data screening, data entry, and data specification, a database of compound patents treated for acute pancreatitis was established. The frequency analysis, attribute analysis, association analysis, cluster analysis, and complex network analysis were performed by using the Ancient and modern medical record cloud platform.Results:A total of 87 compound patents were obtained, comprising 213 herbs, of which the core drugs were Rhei radix et rhizoma, Bupleuri radix, Aurantii fructus immaturus, Glycyrrhizae radix et rhizoma, Magnoliae officinalis cortex, Corydalis rhizoma, Scutellariae radix, Aucklandiae radix, Natrii sulfas, Coptidis rhizoma. The drugs were mainly warm, cold and slightly cold, and the drugs taste mostly bitter and spicy, and the drugs mainly belonged to the spleen meridian and liver meridian. The cluster analysis results contained 5 categories. The associations of drugs included Bupleuri radix - Rhei radix et rhizoma, Aurantii fructus immaturus - Rhei radix et rhizoma, Magnoliae officinalis cortex - Rhei radix et rhizoma, for which complex network analysis yielded a core composition of Rhei radix et rhizoma, Bupleuri radix, Glycyrrhizae radix et rhizoma, Natrii sulfas, Aurantii fructus immaturus, Corydalis rhizoma, Scutellariae radix, Magnoliae officinalis cortex. Conclusion:The eliminating stasis by purging for acute pancreatitis is dominated by Rhei radix et rhizoma, channeling Fu Qi method is based on Aurantii fructus immaturus and Bupleuri radix, and eliminating stasis by purging combined with channeling Fu Qi methods can be used with Magnoliae officinalis cortex, Natrii sulfas, etc.

Application Law of Coptidis Rhizoma to Diabetes and Its Complications： Based on Data Mining / 中国实验方剂学杂志

ObjectiveTo explore the application law of compound prescriptions containing Coptidis Rhizoma to diabetes and its complications based on data mining. MethodA total of 288 records on formulas containing Coptidis Rhizoma in the treatment of diabetes and its complications and the corresponding syndromes and symptoms were retrieved from the medical records of modern physicians， with 218 on the treatment of diabetes and 70 on the treatment of diabetes complications. The Traditional Chinese Medicine Inheritance Computing Platform （V3.0） was used or data mining on the compositions of the formulas. Moreover， it was employed for the frequency statistics， formula analysis， symptom analysis， association rules analysis， network visualization， and cluster analysis. ResultThe 218 formulas containing Coptidis Rhizoma for the treatment of diabetes involved 190 Chinese medicinals. A total of 12 syndromes showed the occurrence frequency ≥ 6， and the one with the highest frequency was deficiency of both qi and yin， followed by the syndrome of excessive heat in lung and stomach， syndrome of Yin deficiency and effulgent fire， and syndrome of excessive heat and fluid consumption. The dose of Coptidis Rhizoma for the treatment of diabetes ranged from 1.5-30 g， and the most frequently used doses were 10， 6， and 5 g. The medicinal was frequently applied for the traditional Chinese medicine symptoms of dry stool， dry mouth and tongue， and swift digestion with rapid hungering. Moreover， 26 core medicinal pairs， 17 association rules， 3 diagrams on medicinal relationship， and 3 core combinations were yielded. The 70 formulas containing Coptidis Rhizoma for the treatment of diabetes complications involved 184 Chinese medicinals， and the top 3 complications were diabetic nephropathy， diabetic peripheral neuropathy， and diabetic gastroenteropathy. The dose of Coptidis Rhizoma in the treatment of diabetes complications fell in the range of 2-15 g， and 10， 6， and 5 g were most frequently used. ConclusionFormulas containing Coptidis Rhizoma for the treatment of diabetes and its complications mainly target the syndrome of dampness-heat transforming into fire and the syndrome of excessive heat damaging yin. This study can serve as a reference for standard use of Coptidis Rhizoma in the prevention and treatment of diabetes and its complications.

A Data Mining-Based Study on Medication Rules of Chinese Herbs to Treat Heart Failure with Preserved Ejection Fraction / 中国结合医学杂志

OBJECTIVE@#To summarize the medication rules of Chinese herbs to treat heart failure with preserved ejection fraction (HFPEF) based on data mining and to provide references for clinical utilization.@*METHODS@#The China National Knowledge Infrastructure (CNKI), Wanfang database (Wanfang), VIP database (VIP), Chinese Biomedical Literature (CBM), PubMed, Embase, and Cochrane Library databases were searched from inception to October 2021 to identify relevant literature on treating HFPEF with Chinese herbs. Microsoft Excel 2019 was used to set up a database, and then, association rule analysis and hierarchical cluster analysis were performed by using apriori algorithm and hclust function respectively in R-Studio (Version 4.0.3).@*RESULTS@#A total of 182 qualified papers were included, involving a total of 92 prescriptions, 130 Chinese herbs, and 872 individual herbs prescribed, with an average of 9.5 herbs per prescription. The six most frequently prescribed herbs were Astragali Radix (Huangqi), Salviae Miltiorrhizae Radix Et Rhizoma (Danshen), Poria (Fuling), Glycyrrhizae Radix Et Rhizoma (Gancao), Cinnamomi Ramulus (Guizhi), and Ginseng Radix Et Rhizoma (Renshen). There were 35 herbs used more than 5 times, involving 11 efficacy categories. The top three categories were deficiency-tonifying herbs, blood-activating and stasis-removing herbs, and dampness-draining diuretic herbs. The most commonly used herbs were mainly warm and sweet. The primary meridian tropisms were Lung Meridian, Heart Meridian and Spleen Meridian. Association rule analysis yielded 26 association rules, such as Astragali Radix (Huangqi) & Salviae Miltiorrhizae Radix Et Rhizoma (Danshen), Poria (Fuling), Cinnamomi Ramulus (Guizhi) & Atractylodis Macrocephalae Rhizoma (Baizhu). Hierarchical cluster analysis yielded four herb classes, and their functions were mainly qi-replenishing and yang-warming, blood-activating and diuresis-inducing.@*CONCLUSIONS@#HFPEF is the syndrome of root vacuity and tip repletion, and its core pathogenesis is "deficiency", "stasis", and "water", with "deficiency" being the most principal, which is closely related to Xin (heart), Fei (Lung), and Pi (Spleen). The treatment of this disease occurs by improving qi, warming yang, activating blood and inducing diuresis. Astragali Radix (Huangqi) with Salviae Miltiorrhizae Radix Et Rhizoma (Danshen) is the basic combination of herbs applied.

Analysis of Medication Rules of Coronary Heart Disease with Heart Failure of Qi Deficiency and Blood Stasis Syndrome Based on Literature Research / 中国实验方剂学杂志

Objective:To systematically sort out and summarize the medication rules of clinical prescriptions for coronary heart disease with heart failure of Qi deficiency and blood stasis syndrome，and to provide reference for selecting prescriptions and medications for the treatment of coronary heart disease （CHD） with traditional Chinese medicine （TCM）. Method:All relevant literature concerning the treatment of CHD with compound TCM prescriptions for Qi deficiency and blood statis syndrome from 2000 to 2020 were retrieved from the China National Knowledge Network （CNKI），WanFang database （WanFang），and VIP journal database （VIP），and the names of prescriptions and drug components were extracted，followed by the frequency of drug use and drug category. Association rules of high-frequency drugs were analyzed by SPSS 18.0，and systematic clustering analysis was conducted by SPSS 21.0. Result:Finally，41 qualified literature articles covering 35 prescriptons and 66 drugs were included in the study. The total frequency of the drugs was 433 times. Among them，there were a total of 25 traditional Chinese medicines with a frequency of ≥5 times. The top 3 frequently used Chinese medicines were Astragali Radix （8.8%），Salviae Miltiorrhizae Radix et Rhizoma （7.2%），Chuanxiong Rhizoma （5.8%）. A total of 15 types of drugs were involved，among which tonic drugs （31.4%），blood promoting and blood stasis drugs （28.2%），and hydration and dampening drugs （7.6%） were used most frequently. The association rule analysis of traditional Chinese medicines with frequency of ≥ 5 showed that there were 13 pairs of binomial associations in 25 traditional Chinese medicines，with Astragali Radix in combination with Salviae Miltiorrhizae Radix et Rhizoma，Chuanxiong Rhizoma，Carthami Flos，et al. There were 8 groups of three associations，with Astragali Radix，Salviae Miltiorrhizae Radix et Rhizoma，and Chuanxiong Rhizoma as the main combinations. A systematic clustering analysis showed that the clustering effect was best when the 25 traditional Chinese medicines were clustered into 5 categories. Conclusion:The treatment of coronary heart disease with heart failure of Qi deficiency and blood stasis syndrome is based on replenishing qi and activating blood circulation，supplemented by warming yang，diuresis，and phlegm-resolving drugs，which can enhance the clinical efficacy. Two basic prescriptions of Buyang Huanwutang and Si junzitang are extracted. Other combinations of prescriptions and drugs can provide references for the clinical treatment of coronary heart disease with heart failure.

Combination rule analysis of classic formulae in “formulae-herb” network based on overlapping community / 中草药

The compatibility of Chinese materia medica (CMM) studies the relations between herbs and their interacting effects. With complex medications for individuals and massive CMM data, it is difficult for traditional data mining methods to reveal the inherent rules in compatibility analysis. This paper with the theory of complex network constructs a “formulae-herb” network to analyze herb combinations based on the overlapping communities for internal rules in CMM classic formulae. Based on the complex network, the formulae can be abstracted to a graph and represented by nodes and edges, herbs as nodes, and the relationships of herbs as edges. The edges were weighted according to the frequency of co-occurrence of two herbs. “Formulae-herb” network was then constructed based on all formulae in the study. A definition “herb influence” was introduced into the network to identify important herb nodes, with which a method of “formulae-herb” network division was introduced based on overlapping communities to discover the structure of the herb relations. Finally, the inherent laws in the community were discussed. A “formulae-herb” network was constructed based on 112 formulae from Treatise on Cold Damage. Herbs with high influence are in line with Zhang Zhong-Jing's medication principle of “combining cold and warm, use of pungent, sweet and bitter together”. This paper also incorporates FCM (fuzzy C-means) algorithm to discover the commonly used herb groups hidden in the medication. A model of treating Shaoyin syndrom was constructed as an application. Herbs with high influence were in line with the treating method of “warming meridian and reinforcing yang, promoting urination and draining dampness”. The result showed that multiple herb groups were clearly classified. “Formulae-herb” network model showed high quality overlapping community structures, the analysis of inherent laws in the community can provide basis for the exploration of compatibility rules of herbs and internal rules in formulae regularities.

Analysis on Medication Rules of Traditional Chinese Medicine for Treatment of Diabetic Peripheral Neuropathy Based on Clinical Literature / 中国实验方剂学杂志

Objective:To investigate the medication rules of traditional Chinese medicine (TCM) for the treatment of diabetic peripheral neuropathy (DPN).Method:The literature published in China Knowledge Resource Integrated Database (CNKI), Wanfang Database, China Biomedical Literature Service System (SinoMed), VIP Database and PubMeb from 2008 to 2019 were retrieved by setting the topics of diabetic peripheral neuropathy and TCM. After screening, a database was established to analyze the medication rules (efficacy, frequency, flavor and meridian tropism, common couplet medicinals and core medicines) of TCM by frequency statistics, association rules and data statistical methods of constructing complex networks.Result:A total of 461 papers for treatment of DPN were included in this study, including 275 kinds of TCM and a total frequency of 6 361 times. Astragali Radix had the highest frequency. Among all kinds of medicinal materials, activating blood circulation and removing stasis was the most commonly used medicine, followed by Qi-invigorating medicine. Flavor of medicines was mainly sugariness and warm, and most of their meridian tropism was liver meridian. After the analysis by association rules, the couplet medicinals with the highest support was Astragali Radix-Angelicae Sinensis Radix. The core medicines obtained by complex network analysis were Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma, Spatholobi Caulis, Cinnamomi Ramulus, Carthami Flos, Pheretima, Paeoniae Radix Rubra, Salviae Miltiorrhizae Radix et Rhizoma and Persicae Semen.Conclusion:This study comprehensively analyzes the medication rules of TCM clinical treatment of DPN. The main treatment methods of TCM for DPN are invigorating Qi and blood, activating blood circulation and removing stasis, activating meridians to stop pain, which can provide guidance for the TCM clinical use and new Chinese medicines research and development of DPN.

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.