Analysis of Medication Rules of Traditional Chinese Medicine for Malaria Treatment Based on Data Mining.

Objective To analyze the medication rules of traditional Chinese medicine (TCM) for malaria treatment.Methods Statistical analysis was conducted on the basic attributes of TCM drugs with regard to property, therapeutic methods, flavor, and meridian tropism. A complex network of TCM drug associations was constructed. Cluster analysis was applied to obtain the core drugs for malaria treatment. The Apriori algorithm was applied to analyze the association rules of these core drugs.Results A total of 357 herbs were used 3,194 times in 461 prescriptions for malaria treatment. Radix Glycyrrhizae (), Rhizoma Pinelliae (), Radix Bupleuri (), and Radix Dichroae () were the frequently used herbs through supplementing, exterior-releasing, heat-clearing, qi-rectifying, and damp-resolving therapeutic methods. Such herbs had warm, natural, and cold herbal properties; pungent, bitter, and sweet flavors; and spleen, lung, and stomach meridian tropisms. Cluster analysis showed 61 core drugs, including Radix Glycyrrhizae, Rhizoma Pinelliae, Radix Bupleuri, and Radix Scutellariae (). Apriori association rule analysis yielded 12 binomial rules (herb pairs) and 6 trinomial rules (herb combinations). Radix Bupleuri plus Radix Scutellariae was the core herbal pair for treating malaria. This pair could be combined with Rhizoma Atractylodis Macrocephalae () for treating warm or cold malaria, combined with Pericarpium Citri Reticulatae () or Radix Dichroae () for treating miasmic malaria, or combined with turtle shells () for treating malaria with splenomegaly.Conclusions TCM can be used to classify and treat malaria in accordance with the different stages of development. As the core herbal pair, Radix Bupleuri and Radix Scutellariae can be combined with other drugs to treat malaria with different syndrome types.

[Medication rules of traditional Chinese medicine compounds for pain].

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.

[Medication rules of Chinese herbal compound prescriptions for treating angina in national patent database based on multiple data mining].

This study explored the medication rules of Chinese herbal compound prescriptions for the treatment of angina based on the Chinese herbal compound patents in the patent database of the China National Intellectual Property Administration. The data of eligible Chinese herbal compound patents for the treatment of angina were collected from the patent database of the China National Intellectual Property Administration from database inception to November 10, 2022, and subjected to data modeling, analysis of main syndromes, medication frequency analysis, cluster analysis, association rule analysis, and data visualization by using Excel 2021, IBM SPSS Statistics 26.0, IBM SPSS Modeler 18.0, Cytoscape 3.9.1, and Rstudio R 4.2.2.2 to explore the medication rules for angina. The study included 636 pieces of patent data for angina that met the inclusion criteria, involving 815 drugs, with a total frequency of 6 586. The most common main syndromes were blood stasis obstructing the heart syndrome(222, 34.91%) and Qi deficiency and blood stasis syndrome(112, 17.61%). The top 10 most frequently used drugs were Salviae Miltiorrhizae Radix et Rhizoma, Chuanxiong Rhizoma, Notoginseng Radix et Rhizoma, Astragali Radix, Angelicae Sinensis Radix, Carthami Flos, Glycyrrhizae Radix et Rhizoma, Ginseng Radix et Rhizoma, Borneolum Syntheticum, and Corydalis Rhizoma. High-frequency drugs included blood-activating and stasis-resolving drugs(1 197, 18.17%) and deficiency-tonifying drugs(809, 12.28%). Cluster analysis identified eight drug combinations, including five new prescriptions suitable for clinical use and new drug development, and three drug pairs. The core drug combination of Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma-Carthami Flos was identified through the complex co-occurrence network analysis of Chinese medicines. Association rule analysis yielded a total of 17 rules, including 13 drug pairs and 4 tripartite combinations. Common drug pairs included Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma(support degree 25.79%, confidence coefficient 69.49%, lift 1.30) and Salviae Miltiorrhizae Radix et Rhizoma-Notoginseng Radix et Rhizoma(support degree 22.01%, confidence coefficient 61.95%, lift 1.16). Common tripartite combinations included Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma-Astragali Radix(support degree 10.85%, confidence coefficient 73.40%, lift 1.37) and Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma-Notoginseng Radix et Rhizoma(support degree 10.69%, confidence coefficient 79.07%, lift 1.48). The results showed that the underlying pathogenesis of angina involved blood stasis obstructing the heart and Qi deficiency and blood stasis. The overall nature of the disease was characterized as asthenia in origin and sthenia in superficiality. In the prescription formulation, blood-activating and stasis-resolving drugs, such as Salviae Miltiorrhizae Radix et Rhizoma, Chuanxiong Rhizoma, and Carthami Flos were often used to resolve the excess manifestation, which were combined with tonifying drugs such as Astragali Radix, Angelicae Sinensis Radix, Glycyrrhizae Radix et Rhizoma, and Ginseng Radix et Rhizoma to reinforce the deficiency. The syndrome, pathogenesis, disease nature, and medication were consistent with clinical practice. Additionally, the new compound prescriptions and drug combinations derived from the multiple data mining in this study could provide references and insights for the clinical diagnosis and treatment of angina and the development of new drugs.

Medication rule of traditional Chinese medicine in the treatment of plateau hypoxia based on data mining. / 基于数据挖掘中药治疗高原性缺氧的组方规律.

OBJECTIVES: The development of traditional Chinese medicine (TCM) in the plateau area is relatively backward. There is a lack of system to analyze the effects of the special environment of plateau low pressure and hypoxia on human meridians qi and blood, as well as the etiology and pathogenesis of plateau hypoxic diseases. To analyze the composition rules of anti-hypoxia TCM formulation with data mining methods. METHODS: The experimental literatures related to high altitude hypoxia were searched in China National Knowledge Infrastructure (CNKI), Wanfang Med Online, VIP, China Biology Medicine disc and other databases, a standardized prescription database was established after screening and standardization of prescription data in the literature. The composition rules of these prescription including drug frequency, drug attributes, drug efficacy, drug combination, and core prescription were analyzed and displayed with visual charts. RESULTS: A total of 135 TCM prescriptions were included, and 229 flavored drugs were included. Among these prescriptions, the TCM with high frequency of use were Astragalus, Danshen, Ginseng, and Angelica, etc. Four natures of the TCM were mostly warm and calm. Five flavours of the TCM were mostly sweet, bitter, and pungent. And channel tropism of the TCM mostly entered the heart, lung, and liver meridians. The frequency combination of TCM was Astragalus-Danshen and Astragalus-Angelica. The core medicines of these prescriptions were Astragalus, Danshen, Angelica, Rhodiola, Goji, and Ginseng. TCM could alleviate symptoms such as chest tightness, chest pain, coughing and wheezing, coughing, vomiting, fatigue, and loss of appetite caused by hypoxia at high altitude. CONCLUSIONS: Through data mining, it is concluded that the prevention or treatment of plateau hypoxic diseases mostly utilized products can nourish blood, replenish qi and dispel stasis, and help yang and dispel qi, most of them are compatible with qi tonic drugs and blood circulation and stasis dissolving drugs, and pay attention to the combination of virtual and real, yin and yang.

[Academician Wang Qi's medication rules for oligoasthenozoospermia: An analysis based on the Traditional Chinese Medicine Inheritance Auxiliary Platform].

OBJECTIVE: To analyze the medication rules for oligoasthenozoospermia (OAZ) observed by Wang Qi, an academician, master of Traditional Chinese Medicine (TCM) and initiator of andrology in TCM. METHODS: We collected the outpatient cases of OAZ treated by Wang Qi and established a database of clinical medical records using the TCM Inheritance Auxiliary Platform. Employing the integrated rule-based system for analysis of the software, we modified the mutual information method, complex system entropy clustering analysis and other data mining methods, and summarized the medication rules Wang Qi followed in the treatment of OAZ. RESULTS: A total of 134 prescriptions made by Wang Qi for the treatment of OAZ were collected, involving 110 TCM drugs, which are mainly neutral and warm in nature and taste sweet and mostly act through the liver and kidney meridians. The core formula ingredients of the prescriptions included Morinda officinalis, Cuscuta chinensis, Lycium barbarum, Mulberry, Angelica sinensis, Astragalus mongholicus and Fish Maw, and most frequently Morinda officinalis, Cuscuta chinensis, Lycium barbarum and Mulberry. CONCLUSIONS: Wang Qi holds that kidney deficiency, dampness-heat, blood stasis and toxin are the main pathogenic factors for OAZ. The basic treatment of OAZ is to invigorate the kidney and replenish the essence, and meanwhile activate blood circulation, dissipate stasis and eliminate dampness-heat.

[Research rules of famous veteran traditional Chinese medicine practitioners in treating infertility].

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.

[Famous veteran traditional Chinese medicine doctors' medication rules in treating spermatorrhea].

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.

[Regularity of prescription medication of Xin'an Wang's internal medicine in treating stomach cramps based on data mining].

The study analyzes the medication rules of Xin'an Wang's internal medicine for treating stomach cramps by data mining technology,in order to provide reference for clinical medication. Through the summarization of the medical cases of stomach cramps treated by Xin'an Wang's doctors( Wang Ren-zhi,Wang Zhong-qi,Wang Le-tao),statistics was made for the frequency of symptoms,signs,syndromes and drugs in Office 2010. Apriori algorithm in IBM SPSS Modeler 14. 1,and SPSS Statistics 22. 0 were used for association rule analysis and cluster analysis. The results showed that the 310 prescriptions collected involved totally 322 syndromes( including symptoms and signs) and 336 drugs,with the cumulative dose of 4 072 times; the symptoms were correlated to the spleen and stomach,liver and gallbladder,and the heart system; syndrome differentiation was mainly based on liver-Qi invasion of the stomach,diet impairment to the stomach,deficiency of spleen and stomach and cold syndrome; commonly used drugs were Qi regulating drugs,phlegm eliminating drugs and blood circulation promoting and stasis removing drugs; high-frequency drug complex network diagram showed that Pinelliae Rhizoma,Aurantii Fructus,Trichosanthis Fructus,Allii Macrostemonis Bulbus were closely related; the analysis showed 12,20,and 17 two,three,and four association rules; cluster analysis showed 10 pairs of Trichosanthis Fructus-Allii Macrostemonis Bulbus,Pinelliae Rhizoma-Aurantii Fructus,and Aspongopus-Toosendan Fructus drug combinations. According to Xin' an Wang's doctors,stomach cramps are closely related to liver and spleen,Qi stagnation,phlegm and blood stasis are the standard.Xin'an Wang's doctors give the first priority on " deoppilation",focus on soothing the liver and spleen,activating Qi and eliminating phlegm,and promoting blood circulation,and refer to use modified Xiaoxianxiong Decoction and modified Gualou Xiebai Banxia Decoction based on symptoms.

[Analysis on mechanisms and medication rules of herbal prescriptions for nonalcoholic fatty liver disease based on methods of data mining and biological information].

To explore the medication rules of herbal prescriptions for nonalcoholic fatty liver disease,and analyze the possible drug targets and interactions,in order to explore the mechanisms of the herbs. Randomized controlled trials of herbal prescriptions for treating nonalcoholic fatty liver disease were collected from CNKI,Wan Fang,VIP,Sino Med and PubMed databases. The properties,flavors and meridian tropism of herbs were analyzed by using systematic cluster analysis method with SPSS 19. 0 software. Subsequently,the association rules of herbs were analyzed by using Clementine 12. 0 software. Finally,the interactions between targets and relevant signaling pathways were analyzed by Traditional Chinese Medicine Systems Pharmacology Database(TCMSP),Search Tool for the Retrieval of Interacting Genes/Proteins(STRING) and Kyoto Encyclopedia of Genes and Genomes(KEGG). In the 88 prescriptions screened out,the commonly used herbs were Salvia miltiorrhiza,Bupleurum chinense,Alisma orientale,and Crataegus pinnatifida,and the potential signaling pathways were PPAR signaling pathway and calcium signaling pathway. The results showed that the main effects of herbal prescriptions were to improve blood flow/clear blood stasis,clear heatiness/dampness,promote digestion and strengthen spleen. And its mechanism of action may be achieved through the regulation of PPAR signaling pathway and calcium signaling pathway.

[Medication regularity of combination of traditional Chinese medicine and Western medicine in treating Helicobacter pylori-related gastropathy based on literatures].

The medication rules of combination of traditional Chinese medicine( TCM) and Western medicine in treating Helicobacter pylori-related gastropathy are analyzed to provide reference for clinical Helicobacter pylori-related gastropathy. Relevant literatures on integrated traditional Chinese and Western medicine in the treatment of Helicobacter pylori-related gastropathy were collected in CNKI,Wan Fang,VIP and CBM. Excel software and traditional Chinese medicine inheritance support system were used to establish a prescription database for data mining and analysis of the medication rules. A total of 178 literatures were selected,77 of them indicated TCM syndromes,and the syndrome of dampness-heat in the spleen and stomach had the highest frequency. A total of 207 prescriptions were used,including 100 classic prescriptions,and Banxia Xiexin Decoction had the highest frequency. Traditional Chinese medicine materials were used for 3 027 times,involving 207 herbs,and the top three mostly frequently used herbs were Glycyrrhiza uralensis,Coptis chinensis,and Pinellia ternata. The herbs mostly featured cold and warm properties in four natures,and bitterness and pungent in five flavors,and enter spleen,stomach and liver meridians. Totally 21 core drug combinations and 12 new prescriptions were obtained. According to data mining,the treatment of Helicobacter pylori-related gastropathy gives priority to " dispelling evil" " tonifying deficiency" and regulating Qi. The medication rules were the combination of cold and warm herbs and the compatibility of acrid opening and bitter down-bearing herbs. This provides a certain reference for optimizing clinical prescriptions,improving efficacy,and developing new drugs.

[Analysis on medication rules for treatment of dementia by ancient physicians based on data mining methods].

To analyze the medication features and regularity of prescriptions of Chinese medicine in treating patients with dementia based on ancient medical records. In the article, we retrieved the ancient medical records related to the treatment of dementia (from the Han Dynasty to the late Qing period) in Chinese Medical Classics, Chinese Ancient Medical Books and digital library, and then set up a medical records normalized database. The medication features and prescription rules for dementia were analyzed by frequency statistics and association rules (Apriori algorithm, improved mutual information algorithm and complex system entropy clustering). Finally, a total of 156 prescriptions were selected, involving 123 Chinese herbs, with a total frequency of 11 747 for the herbs, and 8 core prescriptions were mined. After the association rules between the frequency and prescriptions for the treatment of dementia were determined, we found that the most commonly used herbs included Fuling (Poria), Yuanzhi (Polygalae Radix), Renshen (Ginseng Radix et Rhizoma), Shichangpu (Acori Tatarinowii Rhizoma), Gancao (Glycyrrhizae Radix et Rhizoma), Danggui (Angelicae Sinensis Radix), Maidong (Ophiopogonis Radix), Baizhu (Bletillae Rhizoma), Dihuang (Rehmanniae Radix) and Ganjiang (Zingiberis Rhizoma); the frequently-used drugs compatibility was mainly for tonifying Qi-blood, regulating Yin and Yang and inducing resuscitation. The drugs were mainly of warm nature and sweet (mild) flavor, and the channel tropism of drugs mainly distributed to the heart, liver, spleen and kidney. The core prescriptions were composed of Renshen (Ginseng Radix et Rhizoma), Fuling (Poria), Yuanzhi (Polygalae Radix), Shichangpu (Acori Tatarinowii Rhizoma), and Baizhu(Bletillae Rhizoma). In conclusion, high frequency herbs and core prescriptions reflect the prescriptions by ancient physicians mainly focus on Qi-replenishing, spleen-invigorating and heart-nourishing, but also reflect the prescription rules of nourishing Yin, enriching blood, eliminating phlegm and warming Yang for the treatment of dementia. The medication features and prescription rules for the treatment of dementia obtained by association rules are useful to guide the clinical practice of Chinese medicine in treatment of dementia.

[Analysis on mechanisms and medication rules of herbal prescriptions for gout caused by heat-damp accumulation syndrome based on data mining and network pharmacology].

To mine the medication rules of herbal prescriptions for gout caused by heat-damp accumulation syndrome, and explore the possible mechanism of the core herbs, we collected the relevant literature of gout caused by heat-damp accumulation syndrome in CNKI, medication rules of herbal prescriptions are analyzed by using TCMISS(V2.5) software, and the compatibility of core drugs and new prescriptions were mined.KEGG pathway analysis was performed by BATMAN-TCM, an online analysis tool, and the potential signaling pathways of core drugs compatibility to treat gout caused by heat-damp accumulation syndrome were revealed. The results showed that six core drugs and three new prescriptions were found out of the 136 prescriptions. The core compatibility herbs in clinical treament of gout caused by heat-damp accumulation syndrome, Phellodendri Chinrnsis Cortex, Achyranthis Bidentatae Radix and Achyranthis Bidentatae Radix, which potential signaling pathways were purine metabolic pathway and neura activity ligand receptor interaction signaling pathway. Therefore, for gout caused by heat-damp accumulation syndrome, the mainly used therapies of TCM were clearing heat and drying dampness,inducing diuresis for removing edema, dispeling wind and eliminating dampness. The mechnisms of core compatibility herbs may be achieved through the intervention of purine metabolic pathway and neural activity ligand receptor interaction signaling pathway.

[Analysis on medication rules of modern traditional Chinese medicines in treating palpitations based on traditional Chinese medicine inheritance support system].

To analyze the prescription and medication rules of Chinese medicines in the treatment of palpitations in the Chinese journal full text database(CNKI) by using traditional Chinese medicine inheritance system, and provide a reference for further research and development of modern traditional Chinese medicines(TCMs) in treatment of palpitations. In order to give better guidance for clinical mediation, prescriptions used for treatment of palpitations in CNKI were collected, and then were input to the TCM inheritance support system for establishing a Chinese medicine prescription database for palpitations. The software's revised mutual information, complex system entropy clustering and other data mining methods were adopted to analyze the prescriptions according to the frequencies of herbs, "four natures", "five flavors" and "meridians" of the high-frequency medicines in the database, identify the core herbs and application characteristics, and analyze the prescription rules and medication experience. Totally, 545 prescriptions used for palpitation were included in this study and involved 247 Chinese herbs. The analysis results showed that the herbs in prescriptions for palpitation mostly had the warm property, and the herbs in heart and spleen meridian accounted for a larger proportion, indicating that the treatment was mainly to nourish heart and strengthen spleen. The top 11 herbs in usage frequency were consistent with the high-frequency medicines in medication patterns of common herbal pairs; therefore, we considered that these 11 herbs were the core herbs; the core herbal combination included Cassia Twig, Licorice, fossil fragments, Ostreae decoction, and evolved into 9 new prescriptions for treating palpitation. Our results objectively presented the prescription and medication rules for treating palpitation and provided extremely effective guidance for the clinical therapy.

[Medication rules for prescriptions containing Pterocephali Herba based on data mining].

This study was aimed to discuss and analyze the medication rules for prescriptions containing Pterocephali Herba in Chinese Medical Encyclopedia - Tibetan Medicine, Tibetan Medicine Prescription Modern Research and Clinical Application, and Interpretation of Common Tibetan Medicines based on the collection of Pterocephali Herba and by using the "Traditional Chinese Medicine Inheritance Support system(V2.0.1)",with the use of association rules, apriori algorithm and other data mining methods. The frequency of single drug, the frequency of drug combination, the association rule and the combination of core drugs were analyzed. Through collection of the prescriptions, a total of 215 prescriptions were included, involving a total of 376 herbs. Through the "frequency statistics", the prescriptions containing Pterocephali Herba were commonly used to treat cold fever, distemper virus and arthritis. The highest frequently (frequency≥15) used drugs were Corydalis Herba, Lagotidis Herba, and Gentianae Macrophyllae Radix, et al. The most frequently used drug combinations were "Pterocephali Herba, Corydalis Herba","Pterocephali Herba, Lagotidis Herba", and "Pterocephali Herba, Gentianae Macrophyllae Radix" et al. The prescriptions containing Pterocephali Herba were used to primarily treat disease for Tourette syndrome caused by the dampness heat toxin, fever, arthritis etc, such as pestilent toxicity, pneumonia and influenza, rheumatoid arthritis etc. The drugs in the prescriptions mostly had the effects of heat-clearing and detoxifying, anti-inflammatory, dispelling wind and dampness, often in compatible use with heat-clearing drugs. The drug use was concentrated and reflected the clear thought of prescription statutes.

[Medication rules of famous veteran traditional Chinese medicine doctor in treatment of chronic bronchitis based on implicit structure model].

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.

[Analysis of on medication rules for Qi-deficiency and blood-stasis syndrome of chronic heart failure based on data mining technology].

To analyze the medication features and the regularity of prescriptions of traditional Chinese medicine in treating patients with Qi-deficiency and blood-stasis syndrome of chronic heart failure based on modern literature. In this article, CNKI Chinese academic journal database, Wanfang Chinese academic journal database and VIP Chinese periodical database were all searched from January 2000 to December 2015 for the relevant literature on traditional Chinese medicine treatment for Qi-deficiency and blood-stasis syndrome of chronic heart failure. Then a normalized database was established for further data mining and analysis. Subsequently, the medication features and the regularity of prescriptions were mined by using traditional Chinese medicine inheritance support system(V2.5), association rules, improved mutual information algorithm, complex system entropy clustering and other mining methods. Finally, a total of 171 articles were included, involving 171 prescriptions, 140 kinds of herbs, with a total frequency of 1 772 for the herbs. As a result, 19 core prescriptions and 7 new prescriptions were mined. The most frequently used herbs included Huangqi(Astragali Radix), Danshen(Salviae Miltiorrhizae Radix et Rhizoma), Fuling(Poria), Renshen(Ginseng Radix et Rhizoma), Tinglizi(Semen Lepidii), Baizhu(Atractylodis Macrocephalae Rhizoma), and Guizhi(Cinnamomum Ramulus). The core prescriptions were composed of Huangqi(Astragali Radix), Danshen(Salviae Miltiorrhizae Radix et Rhizoma) and Fuling(Poria), etc. The high frequent herbs and core prescriptions not only highlight the medication features of Qi-invigorating and blood-circulating therapy, but also reflect the regularity of prescriptions of blood-circulating, Yang-warming, and urination-promoting therapy based on syndrome differentiation. Moreover, the mining of the new prescriptions provide new reference and inspiration for clinical treatment of various accompanying symptoms of chronic heart failure. In conclusion, this article provides new reference for traditional Chinese medicine in the treatment of chronic heart failure.

Traditional Chinese medicine combined with chemotherapy in the treatment of advanced non-small cell lung cancer: key drug screening and mechanism analysis.

In the course of clinical treatment for anti-tumor, the combination of traditional Chinese medicine (TCM) and other treatment schemes can reduce toxicity and increase efficiency. The purpose of this paper is to find out the key TCM and effective components for the treatment of non-small cell lung cancer (NSCLC) and analyze its therapeutic mechanism by analyzing the prescription of TCM combined with chemotherapy for NSCLC. Firstly, the prescriptions of TCM in the randomized controlled trials combined with chemotherapy for NSCLC were collected, and the core TCM was screened by frequency statistics, association rule analysis, and cluster analysis. Then, the intersection targets of the potential effects of NSCLC and core Chinese medicine were collected, and PPI analysis and enrichment analysis were performed on the intersection targets to screen the core targets, components, and pathways. The core components were verified by molecular docking and cell experiments. In this study, 269 prescriptions were collected, among which the frequency of medication for Astragalus membranaceus (HQ, in Chinese), Wolfiporia cocos (FL, in Chinese), and Atractylodes macrocephala (BZ, in Chinese) was over 100. Association rule analysis showed that they were highly correlated and clustered into the same category in cluster analysis. Their core components were quercetin, kaempferol, and isorhamnetin. The molecular docking results of the core components with the core targets AKT1 and EGFR obtained by PPI network analysis showed that they could bind stably. KEGG analysis screened 110 pathways including PI3K-Akt; the results of CCK-8 showed that quercetin, kaempferol, and isorhamnetin could effectively inhibit the proliferation of A549 cells, and isorhamnetin had the best inhibitory effect. Isorhamnetin can inhibit the migration and invasion of A549 cells, induce apoptosis and G1 phase arrest, and decrease the expression of P-PI3K and P-AKT in A549 cells. In a word, the key TCM for the treatment of NSCLC includes HQ, FL, and BZ. and its key components quercetin, kaempferol, and isorhamnetin have potential therapeutic effects on NSCLC according to the research results.

Analysis of medication rules and application characteristics of Chinese patent medicine containing borneol based on data mining.

Background: In this study, the regularity of drug containing borneol proprietary Chinese medicine was mined, to provide reference for the clinical application and new drug research and development of borneol. Methods: The database of proprietary Chinese medicines on Pharmaceutical Intelligence Network was searched for internal and external prescriptions that contained borneols and the diseases they treat. Microsoft Office Excel 2019 and SPSS Modeler 18.0 were used to analyze the properties, flavors, meridians tropisms and association rule analysis of the medicines, and Origin 21.0 software was used to draw the association rules diagram. Results: Among them, 528 prescriptions of internal Chinese patent medicine containing borneol and 387 prescriptions of external Chinese patent medicine were included. The diseases treated by internal prescription were mainly neurological diseases and heart diseases, among which Chinese medicines with higher frequency of compatibility with borneol were bezoar, licorice, cinnabar, musk and scutellaria. The diseases treated by external prescription were mainly physical disabilities, paralysis diseases, sore and ulcer diseases and so on. Among them, menthol, camphor, frankincense, angelica, and carthami flos and so on are the most frequently combined with borneol. Conclusion: The prescription of Chinese patent medicine containing borneol is composed of cold or warm, pungent or bitter Chinese medicine. Internal prescription primarily targets the meridians of the heart, liver, and lungs, and is often combined with sedative, antipyretic and detoxicating drugs to treat stroke, infantile convulsion and angina pectoris. External prescription mainly acts on liver, heart and spleen meridian, and is often combined with drugs for clearing heat, promoting blood circulation and removing blood stasis to treat rheumatic arthralgia syndrome and sore and ulcer diseases.

A Data Mining-Based Study on Medication Rules of Chinese Herbs to Treat Heart Failure with Preserved Ejection Fraction.

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.