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Medication Rules of Hub Herb Pairs for Insomnia and Mechanism of Action:Results of Data Mining,Network Pharmacology,and Molecular Docking
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作者 Wen-Long Guo Hui-Juan Jiang +2 位作者 Yan-Rong Li Jin-Long Yang Yu-Chan Chen 《Chinese Medical Sciences Journal》 CAS CSCD 2024年第4期249-260,共12页
Objective To explore the medication rules of traditional Chinese medicine(TCM)and mechanism of action of hub herb pairs for treating insomnia.Methods Totally 104 prescriptions were statistically analyzed.The associati... Objective To explore the medication rules of traditional Chinese medicine(TCM)and mechanism of action of hub herb pairs for treating insomnia.Methods Totally 104 prescriptions were statistically analyzed.The association rule algorithm was applied to mine the hub herb pairs.Network pharmacology was utilized to analyze the mechanism of the hub herb pairs,while molecular docking was applied to simulate the interaction between receptors and herb molecules,thereby predicting their binding affinities.Results The most frequently used herbs in TCM prescriptions for treating insomnia included Semen Ziziphi Spinosae,Radix Glycyrrhizae,Radix et Rhizoma Ginseng,and Poria cum Radix Pini.Among them,the most commonly used were the supplementing herbs,followed by heat-clearing,mind-calming,and exterior-releasing ones,with their properties of warm and cold,flavors of sweet,Pungent,and bitter,and meridian tropisms of liver,lungs,spleen,kidneys,heart,and stomach.The hub herb pairs based on the association rules included Radix Astragali-Radix et Rhizoma Ginseng,Rhizoma Chuanxiong-Radix Glycyrrhizae,Seman Platycladi-Semen Ziziphi Spinosae,Pericarpium Citri Reticulatae-Radix Glycyrrhizae,Radix Polygalae-Semen Ziziphi Spinosae,and Radix Astragali-Semen Ziziphi Spinosae.Network pharmacology revealed that the cAMP signaling pathway might play a key role in treating insomnia synergistically with HIF-1 signaling pathway,prolactin signaling pathway,chemical carcinogenesis receptor activation,and PI3K-Akt signaling pathway.Molecular docking indicated that there was good binding between the active ingredients of the hub herb pairs and the hub targets.Conclusions This study identified six hub herb pairs for treating insomnia in TCM.These hub herb pairs may synergistically treat insomnia with HIF-1 signaling pathway,prolactin signaling pathway,chemical carcinogenesis receptor activation,and PI3K-Akt signaling pathway through the cAMP signaling pathway. 展开更多
关键词 medication rules mechanism INSOMNIA data mining herb pairs network pharmacology molecular docking
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Study on prescription and medication rules of Hua Baojin for treatment of colorectal cancer based on data mining
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作者 Meng-Qi Cheng Yu-Wei Zhao +2 位作者 Ju-Ling Jiang Hong-Gang Zheng Bao-Jin Hua 《Journal of Hainan Medical University》 2022年第4期53-59,共7页
Objective:To study the prescription and medication rule of Professor Hua Baojin in the treatment of colorectal cancer through data mining,so as to provide reference for clinical treatment of colorectal cancer. Methods... Objective:To study the prescription and medication rule of Professor Hua Baojin in the treatment of colorectal cancer through data mining,so as to provide reference for clinical treatment of colorectal cancer. Methods:The outpatient medical records of Professor Hua Baojin from June 2015 to October 2020 in Guang’anmen Hospital,China Academy of Chinese Medical Sciences were collected. TCM Inheritance Support Platform(V2.5)was used to analyze high-frequency drugs,drug properties,flavors,channel tropism,common drug combinations,core combinations and new prescriptions. Results:A total of 500 prescriptions were included,involving 222 traditional Chinese medicines and 38 high-frequency(≥100)medicines,including Atractylodes,Poria cocos,ginger,etc. The most common medicinal properties of drugs were warm,cold and mild,and flavors were sweet,bitter and pungent,channel tropism included spleen,stomach,liver and lung meridians. 36 groups of common drug combinations and 20 association rules were obtained by data mining,and 18 core combinations and 9 new prescriptions were evolved.Conclusion:Professor Hua Baojin takes recuperating spleen and stomach as the core in the treatment of colorectal cancer,attaching importance to regulating the rise and fall of qi,adding and subtracting on the basis of Xiangsha Liujunzi Decoction,flexibly selecting the drugs of dispelling blood stasis,resolving phlegm,detoxification and loose knots,and using both cold and warm in the prescription,tonifying and reducing at the same time. 展开更多
关键词 Hua Baojin Colorectal cancer data mining medication rule
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Study on the medication rules of traditional Chinese medicine in the treatment of sleep disorder after stroke based on data mining
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作者 Xian Liu Jia-Xin Jin +4 位作者 Li-Li He Peng-Zhen Ma Su-Su Ma Yu-Xuan Du Ying-Zhen Xie 《Journal of Hainan Medical University》 2022年第10期50-58,共9页
Objective:To explore the medication rule of Traditional Chinese Medicine(TCM)in the treatment of sleep disorder after stroke by using data mining technology.Methods:A computer search was used to search the electronic ... Objective:To explore the medication rule of Traditional Chinese Medicine(TCM)in the treatment of sleep disorder after stroke by using data mining technology.Methods:A computer search was used to search the electronic database of clinical literature on the treatment of sleep disorders after stroke by TCM from January 2000 to January 2021.Excel was used to establish the database,and the prescription information was described and analyzed statistically.Using IBM SPSS Modeler 18.0 software,Apriori algorithm was used for TCM association analysis,and IBM SPSS 22.0 software was used for systematic cluster analysis of high-frequency TCM.Results:A total of 67 literatures were included,covering 131 traditional Chinese medicines.The medecines with a higher frequency of sodium use include Ziziphi Spinosae Semen(Suanzaoren),Angelicae Sinensis Radix(Danggui),Ligusticum(Chuanxiong),liquorice(Gancao),Poria cocos(Fuling),and so on.From the effect point of view,deficiency-tonifying medicine,sedative medicine and blood-activating and stasis-removing medicine are commonly used.The medicinal properties are mainly cold,mild and warm.The main medicine flavor are sweet and bitter.The medicines mostly belong to the liver,heart and spleen Meridian.Thirty-three association rules were obtained for medicine pairs and medicine groups from the correlation analysis,and the core combinations were"Ziziphi Spinosae Semen(Suanzaoren)-Tuber fleeceflower stem(Yejiaoteng)","Ziziphi Spinosae Semen(Suanzaoren)-Polygala(Yuanzhi)","Ziziphi Spinosae Semen(Suanzaoren)-Cortex albiziae(Hehuanpi)"and"Angelicae Sinensis Radix(Danggui)-Radix bupleuri(Chaihu)-Radix Paeoniae Alba(Baishao)"and so on.Seven medicine aggregation groups were obtained by medicine cluster analysis.Conclusion:In the treatment of sleep disorder after stroke by TCM,the main method is to calm the heart and mind.Meanwhile,according to different syndrome types,the treatment methods of tonifying the heart and spleen,nourishing the liver and kidney,soothing the liver and softening the liver,clearing heat and resolving phlegm,nourishing the blood and promoting blood circulation are selected,which provide certain reference for clinical treatment. 展开更多
关键词 data mining Sleep disorder after stroke medication rule Association analysis Clustering analysis
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A study of medication rules of traditional Chinese medicine in the treatment of pre diabetes based on data mining
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作者 Ji-Ya Sun Qiong-Yang Zhou +4 位作者 Chao Cheng Zhi-Heng Zhao Gui-Tong Zhou Yi-Hua Fan Xin-Ju Li 《Medical Data Mining》 2020年第4期166-176,共11页
Background:To summarize the concerted application and prescription rules of traditional Chinese medicine in the treatment of pre diabetes.Methods:Microsoft Excel 2010 was used to summarize the categories,nature,flavou... Background:To summarize the concerted application and prescription rules of traditional Chinese medicine in the treatment of pre diabetes.Methods:Microsoft Excel 2010 was used to summarize the categories,nature,flavour and channel tropism of drugs.The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and the association rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 14.0.Results:One hundred and forty-six references were included,including 153 prescriptions and 131 drugs.Their frequency of use is listed in the following order.The top 3 categories of drugs were“Tonifying,Heat-Clearing”,diuresis and“Diffusing Dampness”drugs.The top 5 drugs were Huangqi(Astragali radix),Fuling(Poria),Huanglian(Coptidis rhizoma),Shanyao(Dioscoreae rhizoma),Gegen(Puerariae lobatae radix).The top 3 channel tropism of drugs were spleen,stomach and lung.The top 3 nature of drugs were cold,warm and calm.The top 3 flavour of drugs were sweet,bitter and pungent.The cluster analysis of high-frequency drugs showed that it could be classified into 4 categories:“Benefiting Qi”for promoting production of fluid,“Clearing Heat”and“Eliminating Dampness”,“Nourishing Yin”and“Clearing Heat”,and“Invigorating Spleen”for“Diffusing Dampness”.The results of association rule analysis showed that the combination with the highest degree of confidence and support was Poria-Chenpi(Citri reticulatae pericarpium)-Banxia(Pinelliae rhizoma)-Baizhu(Atractylodis macrocephalae rhizoma)and the combination with the highest frequency was Astragali radix-Puerariae lobatae radix.Conclusion:The pre diabetes is due to deficiency.The disease location is spleen and stomach and the pathological factor is phlegm-damp,that is why benefiting qi and invigorating spleen is regarded as the key link of clinical treatment. 展开更多
关键词 Pre diabetes Traditional Chinese medicine medication rules data mining
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An Analysis of Medication Rules of Chinese Medicine for Restless Legs Syndrome Based on Data Mining
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作者 CHEN Shu-jiao ZHOU Xiao-li 《World Journal of Integrated Traditional and Western Medicine》 2020年第9期26-33,共8页
Objective: Based on data mining, to explore the medication rules of Chinese medicine for the treatment of restless legs syndrome(RLS). Methods: The CNKI, WANFANG, and VIP were taken as data sources, and "restless... Objective: Based on data mining, to explore the medication rules of Chinese medicine for the treatment of restless legs syndrome(RLS). Methods: The CNKI, WANFANG, and VIP were taken as data sources, and "restless legs syndrome, RLS" as the key words, and "Chinese medicine, Chinese materia medica, traditional Chinese medicine(TCM), traditional Chinese and Western medicine" as sub key words, the data was extracted from the journals and literature related to the treatment of RLS by TCM from the establishment of the database to 2020, and data mining techniques(frequency analysis, cluster analysis, association rules) were used to analyze the core drugs and drug pair(group) rules. Results: A total of 87 prescriptions met the requirements of this study, involving 142 Chinese herbal medicines. The top 5 Chinese herbal medicines with a higher frequency of use were Radix Paeoniae Alba, Radix Glycyrrhizae, Radix Angelicae Sinensis, Fructus Chaenomelis and Radix Astragali seu Hedysari. The four Qi(气) of the medicine were mainly warm and neutral, the five flavors were mainly sweet, bitter, and pungent. The main channels of the meridian were mainly the liver meridian, spleen meridian and heart meridian. The medication categories were mainly tonifying deficiency herbs, blood activating and removing blood stasis herbs, and eliminating wind and dampness herbs. The association rule analysis yielded 24 Chinese medicine combinations with high support, and the hierarchical cluster analysis yielded a total of 5 clusters. Conclusion: TCM treatment of RLS is based on tonifying deficiency herbs, especially to replenish Qi and blood throughout the course of the disease, supplemented by herbs for promoting blood circulation and removing blood stasis, and herbs for eliminating wind and dampness, as well as combined with herbs for reliving superficies and herbs for calming the liver to stop the wind. 展开更多
关键词 Restless legs syndrome data mining Association rules medication rule
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Based on data mining, the study on the medication rule of Chinese patent medicine for constipation
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作者 Yu-Qiang Lu Hui Ding +2 位作者 Zhao-Lin Shi Ru-Ying Li Guo-Cheng Zhang 《Medical Data Mining》 2021年第2期20-28,共9页
To analyze the medication rule of Chinese patent medicine compound for constipation by data mining,and to provide reference for the treatment of constipation.Methods:The Chinese patent medicines for constipation in th... To analyze the medication rule of Chinese patent medicine compound for constipation by data mining,and to provide reference for the treatment of constipation.Methods:The Chinese patent medicines for constipation in the Pharmacopoeia of the People’s Republic of China(2020)and Chinese patent medicine prescription database of yaozhi.com(https://db.yaozh.com/chufang)were collected and sorted.The prescriptions and drug composition were input into Excel2010.ategories,nature,flavour and channel tropism of drugs were analyzed by using ancient and modern medical case cloud platform(V2.3.5).The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 18.0.Results:Two hundred and thirty-six Chinese patent medicine prescriptions that met the requirements were collected,containing 349 Chinese medicines in total,with a total frequency of 2,277.The drugs with frequency≥25 times were high-frequency drugs,with a total of 24 flavours,and the top 5 were Dahuang(Rhei radix et rhizoma),Huangqin(Scutellariae radix),Gancao(Glycyrrhizae radix et rhizoma),Huanglian(Coptidis rhizoma)and Bohe(Menthae haplocalycis herba).The top 3 frequency of efficacy of high-frequency drugs were“Heat-Clearing(remove heat from the body surface and inside)”drugs,“Purgating(to promote excretion of stools)”drugs and“Reinforcing”(to supplement the body’s lack of“Qi,Blood,Yin and Yang”)drugs.The nature of high-frequency drugs were cold,warm and flat.The top 3 flavour of the high frequency drugs were bitter,spicy and sweet.The top 4 channel tropism of high-frequency drugs were“Spleen”,“Stomach”,“Lung”,“Large intestine”.According to the association rule,11 drug pairs were obtained,and the core drug pairs were Zhizi(Gardeniae fructus)-Rhei radix et rhizoma,Huangbo(Phellodendri chinensis cortex)-Rhei radix et rhizoma.Four new methods were obtained based on cluster analysis.Conclusion:Chinese patent medicine has a certain regularity in the treatment of constipation.This paper can provide some references for the clinical treatment of constipation with Chinese medicine. 展开更多
关键词 Chinese patent medicine CONSTIPATION medication rule data mining
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Medication Rules of Traditional Chinese Medicine for Treating Threatened Abortion in the Early Stage of Pregnancy with Subchorionic Haematoma Based on Data Mining
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作者 曾丽 俎丽 +2 位作者 陈莉 王唪义 李莉 《World Journal of Integrated Traditional and Western Medicine》 2023年第4期21-30,共10页
Objective:Using data mining technology to explore the rules of traditional Chinese medicine(TCM)in the treatment of threatened abortion in the early stage of pregnancy with sub-chorionic haematoma(SCH).Methods:Literat... Objective:Using data mining technology to explore the rules of traditional Chinese medicine(TCM)in the treatment of threatened abortion in the early stage of pregnancy with sub-chorionic haematoma(SCH).Methods:Literature of TCM in the treatment of threatened abortion in the early stage of pregnancy with SCH were retrieved from CNKI,VIP,WANFANG and Pubmed,EMBASE.The literature information database was established to be used for descriptive analysis,association rule analysis and cluster analysis of relevant data.Results:A total of 100 literatures were included,involving 114 Chinese herbs.The efficacy of Chinese herbs were mainly tonic drugs,hemostatic drugs,heat-clearing drugs,dissolving blood stasis and hemostatic drugs.The medicinal properties were mostly mild and warm,and the taste of the drug was mainly sweet,bitter and pungent.The liver meridian,spleen meridian and kidney meridian were frequently used.The commonly used drug pair combination was"Xu duan(Radix dipsaci,续断)-Tusizi(Semen Cuscutae,菟丝子)",and the core combination was"Tusizi-Xu duan-Ejiao(Donkeyhide gelatin,阿胶)-Baizhu(Atractylodes macrocephala,白术)-Dangshen(Codonopsis pilosula,党参)".Commonly used drugs for removing blood stasis and hemostasis were with Sanqi(Panax notoginseng,三七),Puhuang(cattail pollen,蒲黄),and Qiancao(Radix Rubiae,茜草).Conclusion:Data mining traditional Chinese medicine for the treatment of threatened abortion in the early stage of pregnancy with SCH clinically commonly used drug efficacy,taste,meridian,commonly used drug pairs,core combination and commonly used blood stasis hemostatic drugs,has important reference significance for the treatment of threatened abortion in the early stage of pregnancy combined with SCH. 展开更多
关键词 Threatened abortion for early stage of pregnancy Sub-chorionic haematoma data mining medication rules Removing blood stasis and stopping bleeding TCM
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Discussion on the medication rule of Professor Ba Yuanming in the treatment of chronic glonerulonephritis based on data mining technology
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作者 Zi-Lin Wang Yuan-Ming Ba +3 位作者 Cheng-Yin Li Qi Xu Yu Zhou Liang Li 《Journal of Hainan Medical University》 2021年第14期53-60,共8页
Objective:To explore the medication rule of Professor Ba Yuanming in the treatment of chronic glonerulonephritis by data mining technology,so as to provide certain reference for clinical and scientific research in the... Objective:To explore the medication rule of Professor Ba Yuanming in the treatment of chronic glonerulonephritis by data mining technology,so as to provide certain reference for clinical and scientific research in the treatment of Chronic glonerulonephritis with traditional Chinese medicine.Methods:collect,sort out and screen the cases of chronic nephritis diagnosed and treated by Professor Ba Yuanming in the outpatient department of Hubei Hospital of traditional Chinese medicine from 2018 to 2019,establish the database on the cloud platform of ancient and modern medical cases(v2.2.1),and use frequency statistics,association rules,hierarchical clustering and other analysis methods to study and analyze the drugs used.Results:1630 cases were included in the prescription,involving 212 traditional Chinese medicines.The high-frequency drugs are Poria cocos,astragalus,dangshen,yam,Chuanshanlong,Cornus,distracted wood,etc;the drugs are mainly warm,cold and calm;the five tastes are sweet and light,spicy and bitter;the meridian tropism is mostly found in the kidney,lung and spleen channels;the effects are calming the mind and the nerves,strengthening the spleen and stomach,promoting water and swelling,etc.The core Chinese medicine combinations of Astragalus and poria were obtained.Conclusion:Professor Ba Yuanming pays attention to comprehensive consideration,attack and supplement in the treatment of CGN,pays attention to the care of the healthy qi of Sanjiao,at the same time clearing away heat and dampness,removing blood stasis and firmness,and is good at using the sweet and gentle products. 展开更多
关键词 Chronic glomerulonephritis BA Yuan-ming data mining Traditional Chinese medicine medication experience
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Study on the medication rule of Wang Xun in the treatment of dysentery based on Data Mining
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作者 Wang Wan-li Zhang Meng-jing +2 位作者 Yang Shu-guang Kai Fei Wang Peng 《Journal of Hainan Medical University》 2020年第1期39-44,共6页
Objective: Based on data mining, Wang Xun's medication rule in the treatment of dysentery was discussed. Methods: the traditional Chinese medicine used in the prescriptions for dysentery in Wang Xun's "Tz... Objective: Based on data mining, Wang Xun's medication rule in the treatment of dysentery was discussed. Methods: the traditional Chinese medicine used in the prescriptions for dysentery in Wang Xun's "Tzu hang Ji Sanyuan Puji Fang" was counted, the names of the drugs were standardized, and their properties, taste, efficacy and meridian tropism were investigated respectively. The database was established with the help of Microsoft Excel 2016, SPSS statistic 24.0 and SPSS modeler 18.0 computer software, and the frequency analysis and high-frequency drug association rules were carried out Analysis, cluster analysis. Results: 44 prescriptions of Wang Xun's dysentery were sorted out and 64 traditional Chinese medicines were used, of which 22 were high-frequency drugs (drugs with frequency ≥ 5%). The top ten drugs were Cheqianzi, Danggui, liquorice, Muxiang, white peony, Fructus aurantii, areca, Poria cocos, radish and rhubarb. The correlation analysis produced "Raphanus seed→Plantago asiatica, Bitter orange→liquorice, tangerine peel→Fructus aurantii, Fructus aurantii→Cheqianzi, areca There are 15 associations of 2 kinds of drugs, such as hammer, Cheqianzi, Fructus aurantii, Muxiang, and so on. Cluster analysis shows that there are 4 cluster formulas: Angelica, Cheqianzi, Raphani, Fructus aurantii, white peony, liquorice, areca, red peony, tangerine peel, rhubarb, Fructus aurantii, Magnolia officinalis and Coptis. Conclusion: the method of data mining is to study the rule of Wang's prescription in the treatment of dysentery, so as to summarize the characteristics of Wang's prescription in the treatment of dysentery, which has guiding significance for clinical treatment of dysentery. 展开更多
关键词 data mining WANG Xun DYSENTERY medication LAW
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Study on Screening of Main Acupoints and Pattern-Specific Acupoint Combination Rules for Acupuncture in Autism Spectrum Disorder Complicated with Sleep Disorder Based on Data Mining
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作者 Wei Du Hujie Song 《Journal of Clinical and Nursing Research》 2025年第8期241-249,共9页
Objective:To explore the core acupuncture acupoints and pattern-adapted acupoint combination rules for autism spectrum disorder(ASD)complicated with sleep disorder using clinical data mining technology.Methods:A retro... Objective:To explore the core acupuncture acupoints and pattern-adapted acupoint combination rules for autism spectrum disorder(ASD)complicated with sleep disorder using clinical data mining technology.Methods:A retrospective analysis was conducted on the diagnosis and treatment data of 104 children with ASD complicated with sleep disorder admitted to Xi’an Traditional Chinese Medicine(TCM)Encephalopathy Hospital from January 2022 to December 2024.Cross-pattern main acupoints were screened via frequency statistics,chi-square test,and factor analysis;pattern-specific auxiliary acupoints were extracted by combining multiple correspondence analysis,cluster analysis,and association rule mining.Results:Ten cross-pattern main acupoints(Baihui,Sishenzhen,Language Area 1,Language Area 2,Neiguan,Shenmen,Yongquan,Xuanzhong)were identified,and acupoint combination schemes for four major TCM patterns(Hyperactivity of Liver and Heart Fire,Deficiency of Kidney Essence,Deficiency of Both Heart and Spleen,Hyperactivity of Liver with Spleen Deficiency)were established.Conclusion:Acupuncture treatment should follow the principle of“regulating spirit and calming the brain as the root,and dredging collaterals based on pattern differentiation as the branch”.The synergy between main and auxiliary acupoints can accurately regulate the disease,providing a basis for precise clinical treatment. 展开更多
关键词 Autism Spectrum Disorder(ASD) Sleep disorder Acupoint selection rule data mining
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A study on the rule of Chinese medicine use against influenza virus based on data mining 被引量:1
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作者 Yu-Qiang Lu Lin FU +4 位作者 Yu-Qi Hao Hui Ding Zhao-Lin Shi Ru-Ying Li Guo-Cheng Zhang 《Medical Data Mining》 2021年第1期28-37,共10页
Background:To summarize the rules of the use of traditional Chinese medicine against influenza virus in the high-quality literatures of core journals,and to provide guidance for the prevention and treatment of influen... Background:To summarize the rules of the use of traditional Chinese medicine against influenza virus in the high-quality literatures of core journals,and to provide guidance for the prevention and treatment of influenza.Methods:Excel 2010 and ancient and modern medical case cloud platform(2.5V)were used to summarize the categories,nature,flavour and channel tropism of drugs.The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and the association rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 18.0.Results:One thousand one hundred and thirty-one articles from core journals were retrieved and 135 articles were screened out,including 109 prescriptions and 170 drugs,with a total frequency of 1,655 times.The 3 most frequently appeared herbs were Gancao(Glycyrrhizae radix et rhizoma),Jinyinhua(Lonicerae japonicae flos)and Lianqiao(Forsythiae fructus).The top 3 efficacy were“Heat-Clearing(remove heat from the body surface and inside)”drugs,drugs for“Relieving Exterior Disorder(treat fever,chills and headaches caused by pathogenic substances in the air)”,and“Phlegm Relieving Cough Antiasthmatic Medicine(relieves respiratory cough and sputum symptoms)”drugs.The top 3 nature of drugs were cold,warm and flat.The top 3 flavour of drugs were bitter,spicy and sweet.The top 5 channel tropism of drugs were“Lung”,“Stomach”,“Heart”,“Spleen”,“Liver”.Association rule yields 20 drug pairs,Jingjie(Schizonepetae herba),Forsythiae fructus,Lonicerae japonicae flos,Niubangzi(Arctii fructus),Mahuang(Ephedrae herba)and Glycyrrhizae radix et rhizoma were commonly used concerted application;four new methods were obtained by cluster analysis.Conclusion:The use of traditional Chinese medicine against influenza virus has a certain regularity,which provides an important reference value for the prevention and treatment of influenza. 展开更多
关键词 Traditional Chinese medicine The flu medication rule data mining
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A study on the rule of Chinese medicine use for airway remodeling based on data mining
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作者 Xin-Yu Wang Guo-Cheng Zhang +5 位作者 Yu-Qiang Lu Yu-Qi Hao Hui Ding Zhao-Lin Shi Hai-Bo Lin Kang-Xiong Zhao 《Medical Data Mining》 2022年第1期9-15,共7页
Objective:Use data mining techniques to explore the rule of Chinese medicine used for airway remodeling.Methods:Search the literature on Chinese medicine use for airway remodeling in the past 20 years.With the help of... Objective:Use data mining techniques to explore the rule of Chinese medicine used for airway remodeling.Methods:Search the literature on Chinese medicine use for airway remodeling in the past 20 years.With the help of WPS Office Excel 11.1,IBM SPSS Statistics 23.0 and SPSS Modeler 18.0 software,prescriptions were analyzed for the frequency of drug use,the four natures,the five flavours and the channel tropism,cluster analysis and association analysis of high-frequency drugs.Results:There were 58 Chinese medicine prescriptions for airway remodeling be found,involving 105 Chinese medicines,the most frequent channel tropism were spleen,stomach,lung,large intestine,liver and gallbladder,the most frequent use of the five flavors was sour,sweet and pungent,the highest frequency of the four natures was cold and hot,cluster analysis yielded eight drug aggregation groups,and association rule analysis yielded five groups of high-frequency drug pairs.Conclusion:The main TCM treatments for airway remodeling are expelling phlegm,relieving cough,asthma calming,expelling blood stasis and deficiency tonifying.The results of this study can provide ideas for compounding and drug selection for subsequent studies. 展开更多
关键词 data mining airway remodeling medication rules association analysis cluster analysis
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Acupoint selection rules in acupuncture therapy for postoperative urinary retention after hemorrhoidectomy based on data mining technology 被引量:3
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作者 Qi-jie LI Meng-di ZHOU +5 位作者 Zheng-ting DUAN Tai-wei HUANG Xin DENG Lu CAI Shi-ru LIU Hong-yan LI 《World Journal of Acupuncture-Moxibustion》 CSCD 2022年第1期70-77,共8页
Objective:To explore the core acupoints and combination rules of acupuncture therapy for postoperative urinary retention after hemorrhoidectomy,and,further to analyze the characteristics of the prescription of acupunc... Objective:To explore the core acupoints and combination rules of acupuncture therapy for postoperative urinary retention after hemorrhoidectomy,and,further to analyze the characteristics of the prescription of acupuncture therapy for postoperative urinary retention after hemorrhoidectomy.Methods:Relevant clinical studies in seven databases were searched systematically from database inception to 1 st October 2020.Based on data mining techniques,the core acupoints,characteristics and combination rules of acupuncture therapy for postoperative urinary retention after hemorrhoidectomy were analyzed comprehensively.Statistics collected and analysis of acupoint selection included the frequency of usage of acupoints,the meridian of acupoints,the location of acupoints and the combination of acupoints.Cluster and association analysis were performed utilizing Excel 13.0 and SPSS 26.0.Results:In the 36 studies included,the most frequently adopted acupoint was Sānyīnjiāo(三阴交 SP6);the most frequently adopted meridian was the foot-taiyin spleen meridian;the most frequently involved location was the lower limbs;and the most frequently adopted combination of acupoints was SP6 and Zhōngjí(中极CV 3).Cluster analysis showed that the acupoints could be divided into three categories:the first group comprised SP6 alone;the second group included CV3,Guānyuán(关元CV4),Yīnlíngquán(阴陵泉SP9) and Zúsānlǐ(足三里ST36);and the third group included Pángguāngshū(膀胱俞BL28),Chéngshān(承山BL57),Tàichōng(太冲LR3),Zhìbiān(秩边 BL54),Tàixī(太溪KI6),Hégǔ(合谷 LI4),Xuèhǎi(血海SP10),Qìhǎi(气海CV6) and Shǔidào(水道ST28).Conclusion:It was found that acupuncture therapy for postoperative urinary retention after hemorrhoidectomy mainly follows the four characteristic rules:the selection of acupoints following the meridian,selection of acupoints at local points,selection of acupoints at distal points and selection of acupoints according to special symptoms. 展开更多
关键词 ACUPUNCTURE Acupoint selection rules data mining Postoperative urinary retention HEMORRHOIDS
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Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining 被引量:3
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作者 DENG Wenxiang ZHANG Jidong +1 位作者 ZHANG Wenan HE Qinghu 《Digital Chinese Medicine》 2022年第2期154-168,共15页
Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data min... Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM. 展开更多
关键词 Traditional Chinese medicine Master XIONG Jibo Arthralgia syndrome data mining Natural language processing(NLP) medication experience Association rules
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A Data Mining-Based Study on Medication Rules of Chinese Herbs to Treat Heart Failure with Preserved Ejection Fraction 被引量:4
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作者 GUO Hong-xin WANG Jian-ru +2 位作者 PENG Guang-cao LI Ping ZHU Ming-jun 《Chinese Journal of Integrative Medicine》 SCIE CAS CSCD 2022年第9期847-854,共8页
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 Nati... 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 dampnessdraining 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,bloodactivating and diuresis-inducing.Conclusions:HFPEF is the syndrome of root vacuity and tip repletion,and its core pathogenesis is"deficiency","stasis",and"wafer",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. 展开更多
关键词 heart failure with preserved ejection fraction data mining Chinese herbs medication rules association rules cluster analysis
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Unveiling the prescription patterns and mechanisms of Chinese herbal compound patents in the management of acute appendicitis:A data mining investigation
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作者 Yuewen Li Qinsheng Zhang Suqin Hu 《Journal of Chinese Pharmaceutical Sciences》 2025年第6期566-580,共15页
In the present study,data mining and network pharmacology were utilized to explore the principles and mechanisms of traditional Chinese medicine(TCM)in treating acute appendicitis.The goal was to provide a scientific ... In the present study,data mining and network pharmacology were utilized to explore the principles and mechanisms of traditional Chinese medicine(TCM)in treating acute appendicitis.The goal was to provide a scientific basis for clinical treatment and further research on this disease.First,we searched the National Patent Database for Chinese herbal compound prescriptions used to treat acute appendicitis.We then applied frequency analysis,character and taste meridian analysis,association rule analysis,and hierarchical cluster analysis to identify the patterns of TCM treatment for acute appendicitis,selecting key combinations of Chinese medicines.Next,we screened the main active components of these key TCM based on quality markers.Using databases such as SwissTargetPrediction,SymMap,ETCM,and STRING,we analyzed the pharmacological mechanisms of these key TCM in treating acute appendicitis.Key active components and targets were further verified through molecular docking.We identified a total of 129 patents involving 316 Chinese medicines,with 24 being frequently used.The results indicated that most Chinese herbs used for acute appendicitis were heat-clearing drugs,blood-activating and stasis-removing drugs,and purging drugs.The primary active ingredients of the Rhubarb-cortex moutan-flos lonicerae combination for treating acute appendicitis included Emodin,Paeonol,Physcion,Chlorogenic acid,Chrysophanol,Rhein acid,and Aloe-emodin.These ingredients targeted key proteins such as ALB,TP53,BCL2,STAT3,IL-6,and TNF,and were involved in cellular responses to lipopolysaccharides,cell composition,and various cytokine-mediated biological processes.They also interacted with signaling pathways like AGE-RAGE,TNF,IL-17,and FoxO.Based on patent data,this study analyzed medication patterns in the treatment of acute appendicitis,discussed the possible mechanisms of key TCM combinations,and provided a scientific basis and new perspectives for the diagnosis and treatment of the disease. 展开更多
关键词 Acute appendicitis data mining rule of composition Hierarchical clustering Molecular docking
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Optimization and principles of acupoint selection and coordination in the treatment of adult abdominal obesity using acupuncture and moxibustion over the past decade:A data mining
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作者 Jia-xin SHEN Tian-yun HUANG +4 位作者 Zhou HAO Guang-bin PENG Yue-ying MA Huan-gan WU Chun-hui BAO 《World Journal of Acupuncture-Moxibustion》 2025年第3期223-231,共9页
Objective To explore the optimization and principles of acupoint selection and coordination in the treatment of adult abdominal obesity using acupuncture and moxibustion over the past decade using data mining.Methods ... Objective To explore the optimization and principles of acupoint selection and coordination in the treatment of adult abdominal obesity using acupuncture and moxibustion over the past decade using data mining.Methods Clinical studies of abdominal obesity treated with acupuncture and moxibustion,collected in the past 10 years,were searched from China Biology Medicine disc(CBMdisc),China National knowledge infrastructure(CNKI),Wanfang,China Science and Technology Journal Database(VIP),Pubmed,Embase,Google Scholar,Web of Science,(The Cumulative Index to Nursing and Allied Health Literature)CINAHL,Psyclnfo and Scopus,dated from March 1,2013 to March 31,2023.Using IBM SPSS Modeler 18.0 and other software,the frequency analysis,association-rules analysis and cluster analysis were conducted on interventions,traditional Chinese medicine(TCM)patterns,use frequency of acupoint,meridian attribution of acupoint,acupoint location,etc.Results A total of 55 articles were included,with 102 prescriptions and 71 acupoints involved.The top 3 interventions were acupoint embedding method,simple electroacupuncture and simple filiform needling.Seventeen patterns/syndromes of TCM differentiation were collected,dominated by spleen deficiency and damp blockage,spleen and kidney yang deficiency and heat accumulation in stomach and intestines.The acupoints in clinical practice were mostly at the foot-yangming stomach meridian,the conception vessel and the foot-taiyin spleen meridian,and located at the abdominal region.The top 5 acupoints of high frequency were Tianshu(ST25),Zhongwan(CV12),Daheng(SP15),Zusanli(ST36),Huaroumen(ST24)and Daimai(GB26).The specific points of the high frequency were the crossing points and front-mu points,of which,ST25 and CV12 were the most prominent.After association-rules analysis on the high-frequency acupoints,20 groups of associated acupoints were obtained,in which,the core acupoints included ST25,CV12,SP15 and ST36.Conclusion In recent 10 years,abdominal obesity is treated by the acupoints of foot-yangming stomach meridian,the conception vessel and the foot-taiyin spleen meridian.Compared with the regimen for simple obesity,the acupoints at the abdominal region are specially selected in treatment of abdominal obesity,such as ST25,CV12,SP15 and ST36.Supplementary acupoints are selected based on syndrome differentiation to simultaneously address both the disease manifestations and root causes. 展开更多
关键词 Abdominal obesity Acupuncture and moxibustion data mining rules of acupoint selection
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Study on the rules of TCM syndromes and Chinese herbal medicines about IgAN based on data mining
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作者 Hong-Tong Chen Cai-Di Gong +3 位作者 Chong Xiong Jian Zhong Zi-Xia Wang Ping Chen 《Journal of Hainan Medical University》 2021年第12期38-42,共5页
Objective:To analyze the clinical research literatures of TCM syndromes and treatment of Immunoglobulin A Nephropathy(IgAN)on data-mining technology,and explore the rules of TCM syndromes and Chinese medication.Method... Objective:To analyze the clinical research literatures of TCM syndromes and treatment of Immunoglobulin A Nephropathy(IgAN)on data-mining technology,and explore the rules of TCM syndromes and Chinese medication.Methods:By searching the clinical literatures about TCM syndromes and treatment of IgAN had published in China Biomedical Literature Database,CNKI Database,Wanfang Database,and Chongqing Weipu Database from January 2000 to September 2019.Strictly according to the inclusion and exclusion criteria,included documents and established the databases.Applicated of statistical software for frequency analysis of TCM syndromes,Chinese herbal medicines,and analyzed the commonly used Chinese herbal medicines by factor analysis and cluster analysis.Results:292 literatures were finally included,involving 28 syndromes.A total of 479 prescriptions and 254 Chinese herbs were used.The rules of syndromes in IgA nephropathy are as follows:the syndromes are mainly composed of Qi and Yin deficiency syndrome,followed by the Spleen and kidney qi deficiency syndrome,Liver and Kidney Yin Deficiency Syndrome,Spleen and kidney yang deficiency syndrome.The blood-stasis syndrome,damp-heat syndrome and wind-heat disturbance syndrome are accompanied by other syndrome.The characteristics of traditional Chinese medicines for IgA nephropathy is mainly composed of tonic deficiency medicines,supplemented by blood-activating and stasis-eliminating medicines,heat-clearing medicines,inducing diuresis and excreting dampness medicines and astringent medicines to combine with formulas.Conclusion:Through Data-mining method systematically summarized the rules of TCM syndromes and Chinese medication in treating IgAN and provided scientific theoretical guidance for the treatment of IgAN. 展开更多
关键词 Immunoglobulin A nephropathy Traditional Chinese Medicine SYNDROMES rules of medication data mining
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Study on medication rules of traditional Chinese medicine for Meniere's disease based on data analysis
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作者 Hui-Jie Zhang De-Hui Yin +2 位作者 Miao-Fang Su Xin-Ran Zhai Gui-Min Chen 《Journal of Hainan Medical University》 2022年第7期58-64,共7页
Objective:Study on medication rules of traditional Chinese medicine in treating Meniere's disease based on data mining technology.Methods:Computer retrieval with since establishment of the“CNKI”,“WF”,“VIP”,t... Objective:Study on medication rules of traditional Chinese medicine in treating Meniere's disease based on data mining technology.Methods:Computer retrieval with since establishment of the“CNKI”,“WF”,“VIP”,there have been literatures on the treatment of Meniere syndrome with Traditional Chinses medicine.Memory preprocessing in accordance with inclusion criteria.Then,EXCLE 2010,SPSS Statistics(ver.25)and SPSS Modeler(ver.18.0)were adopted respectively for frequency analysis,cluster analysis and association rules analysis.Result:A total of 133 references were included in this study,146 prescriptions,192 kinds of drugs,and the total frequency of drugs was 1702.The high frequency Meniere syndrome types were spleen deficiency and phlegm dampness syndrome,wind phlegm syndrome,gallbladder depression and phlegm disturbance syndrome,hyperactivity of liver yang syndrome,phlegm and blood stasis syndrome.The efficacy of drug frequency≥25 were summarized as follows,antiasthmatic drugs for relieving phlegm and relieving cough,diuresis-removing dampness,Tonic drugs,etc.High frequency meridian of drugs are:lung,liver,spleen,etc.High frequency drug properties are:temperature,cold,flat etc.High frequency drug taste:bitter,sweet,pungent,etc.Core drugs:Pinellia,Atractylodes,Poria,Gastrodia,etc.The main prescriptions werealisma soup,Banxia Baizhu Tianma Decoction,Zhengan Xifeng Decoction and Xiaochaihu Decoction.Conclusion:In this study,data mining was used to sort out the treatment of Meniere's disease by traditional Chinese medicine.It was found that the treatment of Meniere's disease was mainly to calm the liver and strengthen the spleen,supplemented by regulating qi and activating blood,clearing heat and opening orifices,tonifying deficiency and tranquilizing mind. 展开更多
关键词 Meniere's disease medication rule VERTIGO medication law data analysis
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Study on Yan-Xin Wang’s medication experience and regularity in treating Insomnia from the liver based on data mining
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作者 Yan-Yan Chen Yan-Xin Wang +2 位作者 Man Wen Zheng Yu Jing-Jing Wu 《TMR Integrative Medicine》 2023年第17期1-9,共9页
Background:Professor Yan-Xin Wang has been committed to the use of traditional Chinese medicine formulas to treat insomnia from the liver for many years,and has achieved excellent clinical results.In order to better i... Background:Professor Yan-Xin Wang has been committed to the use of traditional Chinese medicine formulas to treat insomnia from the liver for many years,and has achieved excellent clinical results.In order to better inherit Yan-Xin Wang’s academic thoughts.The purpose of this study is to use clinical data to explore the clinical experience of Prof.Yan-Xin Wang in the application of Chinese medicine to treat insomnia patients from the liver,explore the compatibility and medication rules of traditional Chinese medicine,and give more clinical treatment ideas for insomnia.Methods:The general data and prescription information of insomnia patients treated with Chinese herbal medicine by Prof.Yan-Xin Wang from January 1,2021,to December 31,2021,were summarized according to the inclusion and exclusion criteria,and the data were subjected to frequency statistics and drug association rules,complex network diagram analysis and cluster analysis.Results:A total of 159 patients and prescriptions were included in the study,of which 81.1%were women and 18.9%were men,containing 128 herbs;the highest frequency of use was 91.8%for Bupleuri Radix.Six Chinese herbs were used more than 70%of the time,namely Bupleuri Radix,Scutellariae Radix,oyster shell,Glycyrrhizae Radix,Os Draconis,and Ziziphi Spinosae Semen.The top 20 herbs in terms of frequency of use were analyzed in terms of the four Qi,five flavours,and their attributions.The four Qi were mainly calm and warm,the five flavours were mainly bitter and acrid,followed by sweet,and the attributions were mainly to the liver,spleen,and heart meridians.The Chinese medicine association rules set the confidence level>80%and the support level>10%,resulting in 10 two-herb and three-herb associations with the highest confidence level,such as Os Draconis is associated with oyster shell,Platycodonis Radix is associated with Achyranthis Bidentatae Radix,Scutellariae Radix is associated with Bupleuri Radix,Os Draconis,Bupleuri Radix is associated with oyster shell,Os Draconis,Scutellariae Radix is associated with oyster shell,etc.Cluster analysis yielded 3 classes of drug formulas.The complex network diagram shows that the core prescription drugs are composed of Bupleuri Radix,Chuanxiong Rhizoma,Pseudostellariae Radix,Jujubae Fructus,Os Draconis,Coptidis Rhizoma,Scutellariae Radix,Ziziphi Spinosae Semen,Smilacis Glabrae Rhizoma,Cinnamomi Cortex,White Moutan Cortex,Atractylodis Rhizoma,Glycyrrhizae Radix,oyster shell,Rehmanniae Radix Praeparata,Tritici Levis Fructus,Pinelliae Rhizoma Praeparatum,and Cinnamomi Ramulus.Conclusion:Prof.Yan-Xin Wang believes that the main treatment for patients with insomnia is based on the liver,by tonifying the deficiency and supporting the righteousness,mutually regulating the liver and spleen,and calming the mind and nourishing the heart,while adding and subtracting appropriate herbs according to the patient’s co-morbidities,which can significantly improve the patient’s insomnia symptoms. 展开更多
关键词 data mining INSOMNIA liver-based treatment medication patterns
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