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Research progress of data mining in the treatment of hypertension by traditional Chinese medicine 被引量:3
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作者 Lu Zhao Yu-Jie Wu Ming-Quan Zhang 《Food Therapy and Health Care》 2021年第2期36-46,共11页
With the gradual development of data mining technology,more and more data mining software emerges as the times require,and the data mining methods are diversified,which provides a strong support in the study of the tr... With the gradual development of data mining technology,more and more data mining software emerges as the times require,and the data mining methods are diversified,which provides a strong support in the study of the treatment of hypertension by traditional Chinese medicine.This research systematically introduces the advantages,disadvantages and application examples of data mining software such as SPSS,TCM inheritance support platform,TCM clinical research information sharing system and data mining methods such as cluster analysis,bayesian network,system evaluation.It is expected to enhance the practical application of data mining in the study of prevention,diagnosis and medication rule of TCM treatment of hypertension,and provide reference for the development of new software and new technology. 展开更多
关键词 data mining Statistical methods HYPERTENSION traditional Chinese medicine
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Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining 被引量:2
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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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Regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on data mining techniques 被引量:1
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作者 Shuai Zhang Yinglin Qin +3 位作者 Jiaqi Yang Jie Guo Xueshuai Dai Xiaoming Jin 《Medical Data Mining》 2019年第4期169-175,共7页
Objective:This study aims to explore the regularity of syndrome differentiation and treatment of traditional Chinese medicine(TCM)for allergic purpura.Methods:CNKI,Weipu Chinese science and technology database,wanfang... Objective:This study aims to explore the regularity of syndrome differentiation and treatment of traditional Chinese medicine(TCM)for allergic purpura.Methods:CNKI,Weipu Chinese science and technology database,wanfang medical network database,and Chinese biomedical literature database were searched for eligible studies.Medical records including complete patient personal information,patient symptoms,TCM syndromes,treatment,and medication were included.The data was analyzed using the Chinese medicine heritage support platform provided by the Chinese Academy of Chinese medicine(V2.5).Results:Differentiation of health gas camp blood was the most commonly used method of differentiation of symptoms and signs in famous veteran TCM.The treatment included cooling blood,activating blood circulation,clearing heat and detoxifying toxins,removing blood stasis and stopping bleeding.Honeysuckle,Forsythia suspensa,cicada slough and other drugs were interrelated.Potential drug pair combinations and drug networks showed the basic drug composition of Qingying Decoction.According to the entropy cluster analysis,28 core drug combination and 12 new formulations were obtained.Conclusion:The regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on the famous and old TCM doctors was complex.Further researches are still needed. 展开更多
关键词 syndrome differentiation and treatment traditional Chinese medicine Henoch-Schonlein purpura data mining
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Study on prescription medication mode and mechanism of traditional Chinese medicine in the treatment of noncritical COVID-19 based on data mining
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作者 Jia-Ming Xiong Jia-Yu Wang +8 位作者 Yi Liu Bin Hao Yue-Yu Zhang Tian-Lang Li Zi-Tong Fu Quan Qi Yu-Liang Zhang Shi-Hui Sun Guo-Wei Zhang 《Traditional Medicine Research》 2023年第6期49-68,共20页
Background:As of 2023,coronavirus disease 2019(COVID-19)is still spreading globally.Therefore,we aim to integrate non-critical COVID-19 high-frequency and high-targeting Chinese medicines to provide a reference for cl... Background:As of 2023,coronavirus disease 2019(COVID-19)is still spreading globally.Therefore,we aim to integrate non-critical COVID-19 high-frequency and high-targeting Chinese medicines to provide a reference for clinical prescriptions to improve COVID-19-related symptoms.Materials and methods:The information on non-critical COVID-19 high-frequency Chinese medicines in the diagnosis and treatment of COVID-19 was obtained by the TCM inheritance support platform.Using network pharmacology and molecular docking technology,high-targeting Chinese medicines with good docking activity with COVID-19 receptors angiotensin-converting enzyme-II(ACE2),3CLpro and tyrosine-protein kinase receptor UFO(AXL)were obtained.A new prescription for non-critical COVID-19 was established by integrating high-frequency and high-targeting Chinese medicines.Rats with acute lung injury induced by lipopolysaccharide were used as the experimental model.The histopathological changes in the lungs of rats in each group were observed by hematoxylin-eosin staining.The lung coefficient of rats was measured.The levels of IL-6,TNF-α,and IL-1βin serum were detected by enzyme-linked immunosorbent assay.The mRNA and protein levels of ACE2 and AXL in lung tissue were detected by real-time quantitative polymerase chain reaction and western blot.Results:Through data mining,it was found that there were 39 high-frequency traditional Chinese medicines for non-critical COVID-19 in the diagnosis and treatment guidelines.According to network pharmacology and molecular docking,30 highly targeted traditional Chinese drugs for COVID-19 were found.The new prescriptions for non-critical COVID-19 were comprehensively obtained,including Glycyrrhizae Radix,Ephedra Herba,Amygdalus Communis Vas,Gypsum Fibrosum,Descurainiae Semen,Atractylodes Lancea,Scutellariae Radix,Amomum Tsao-Ko Crevostet,Forsythiae Fructus,Pogostemon cablin,Magnolia Officinalis.Compared with the LPS-induced lung injury model group,the medium dose of the new prescription group had significantly alleviated pathological changes in lung tissue,decreased lung coefficient,decreased contents of IL-6,TNF-αand IL-1β,and increased mRNA and protein expression of ACE2 and AXL(P<0.05).Conclusion:Based on data mining,network pharmacology and molecular docking technology,the new prescription for non-critical COVID-19 established by this method has an anti-inflammatory effect on rats with acute lung injury induced by lipopolysaccharide and can provide a reference for clinicians to alleviate the symptoms related to non-critical COVID-19. 展开更多
关键词 traditional Chinese medicine coronavirus disease 2019 data mining network pharmacology molecular docking animal experiment
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Study on medication laws of traditional Chinese medicine of 340 cases of COVID-19 based on data mining
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作者 Wei Huang Yan-Ling Rao +2 位作者 Qin-Guo Sun Cheng-Yin Li Yuan-Ming Ba 《Journal of Hainan Medical University》 2020年第12期1-9,共9页
Objective:To analyze the prescription rules of traditional Chinese medicine for patients with COVID-19 in Wuhan Third Hospital, and summarize the disease characteristics and clinical treatment ideas, in order to learn... Objective:To analyze the prescription rules of traditional Chinese medicine for patients with COVID-19 in Wuhan Third Hospital, and summarize the disease characteristics and clinical treatment ideas, in order to learn from the treatment of this disease by traditional Chinese medicine.Methods: This study established a cloud database based on the ancient and modern medical cases to mine the rules of medication with analyses of frequency of drug used, association analysis, cluster analysis, complex network and other methods.Results:Of 340 COVID-19 patients discharged from our hospital, 143 males and 197 females with male: female = 0.73: 1, and there were 167 patients over 60 years old, and the majority of clinical illnesses were mainly middle-aged and elderly people. Most of them had dry cough, anorexia, fatigue, etc. The traditional Chinese medicine for the treatment of COVID-19 involves a total of 204 flavors. The most frequent use is Fuling of 225 times. The treatment of traditional Chinese medicines is mainly involved with flavors such as warm, spicy and sweet. Mainly detoxification, dampness and phlegm, Qingfei Paidu Decoction is a common clinical prescription, of which the core drugs are Huoxiang, Fabanxia, Chenpi, Baizhu, Cangzhu, Fuling, Chaihu, Huangqin, Xingren, and Gancao.Conclusion: Through this study, the patients with COVID-19 in our hospital are mainly middle-aged and elderly people, and the etiology is characterized by "cold, wet, poisonous, and epidemic". Wetness is the most important core of the disease. 展开更多
关键词 COVID-19 data mining traditional Chinese medicine TREATMENT
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Research based on data mining compatibility of traditional Chinese medicine with Professor WANG Dong-mei in the treatment of primary dysmenorrhea
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作者 Huan Gao Dong-Mei Wang 《Journal of Hainan Medical University》 2021年第20期50-54,共5页
Objective:To study the law of compatibility of traditional Chinese medicine in the treatment of primary dysmenorrhea by Professor WANG Dong-mei.Methods:This study collected the Professor WANG Dong-mei’s prescriptions... Objective:To study the law of compatibility of traditional Chinese medicine in the treatment of primary dysmenorrhea by Professor WANG Dong-mei.Methods:This study collected the Professor WANG Dong-mei’s prescriptions for primary dysmenorrhea cases in the outpatient department,to establish a database by Excel 2015,and to use IBM SPSS statistics 24.0 and SPSS Clementine 12.0 software for clustering analysis and association rules data mining analysis.Results:A total of 106 cases were included,106 prescriptions were collected,114 kinds of drugs were used,nd the cumulative frequency of drug use was 1876 times;the top three drugs were white peony(89 times),Xiangfu(77 times),red peony(75 times);the drugs with the most drug properties and taste frequency were warm and sweet drugs,which were mainly liver meridian;four common pair-used drug groups were Xiangfu yanhusuo,angelica white peony etc.and six groups were common clustering groups.Conclusion:Professor WANG Dong-mei usually chooses the drugs of sweet,warm or spicy in the treatment of primary dysmenorrhea.In addition to the natural efficacy,Prof.Wang also considers modern pharmacological effect in the specific drug selection.The commonly used prescription combination is Shaofu Zhuyu Decoction,which embodies Professor WANG Dong-mei's academic thought of treating primary dysmenorrhea"mainly by warming and regulating qi and blood",and for patients with reproductive needs,in addition to promoting blood circulation and relieving pain,she also adds menstruation regulating and pregnancy aiding drugs,which can not only improve the symptoms of primary dysmenorrhea,but also meet their fertility desire. 展开更多
关键词 Wang Dong-mei Primary dysmenorrhea data mining Compatibility of traditional Chinese medicine
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Analysis of the rule of medication of compound Chinese traditional patent medicine for digestive system tumors based on data mining
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作者 Shan-Shan Yang Li-Qun Jia Shao-Dong Hao 《Journal of Hainan Medical University》 2021年第22期33-38,共6页
Objective:Based on the data mining method,explore the medication rules of Chinese patent medicines for the treatment of digestive system tumors.Method:Based on the"Chinese Traditional Medicine Prescription Databa... Objective:Based on the data mining method,explore the medication rules of Chinese patent medicines for the treatment of digestive system tumors.Method:Based on the"Chinese Traditional Medicine Prescription Database"in https://db.yaozh.com/,collect Chinese patent medicines for the treatment of digestive system tumors,establish an Excel table,and use the ancient and modern medical case cloud platform(V2.2.1)to perform frequency statistics,association rules,and drugs on the data Clustering and complex network analysis.Results:A total of 36 Chinese patent medicines for the treatment of digestive system tumors were screened.The medicinal properties were mainly warm and cold,the taste was bitter and sweet,and the meridians were mainly liver and spleen meridians.High frequency Chinese medicine include Astragalus,Scutellaria-barbata,Ginseng,Curcuma,Triangle,Atractylodes,Hedyotis diffusa,etc.Correlation analysis obtained 17 drug combinations,High-frequency drug pairs include Scutellaria-barbata-Astragalus,Ginseng-Astragalus,Curcuma-Astragalus,Scutellaria-barbata-Curcuma,etc.Cluster analysis found 3 types of drugs.The core drug network is composed of 27 drugs,and the core compatibility network consists of 3 groups of drugs.Conclusion:The Chinese patent compound medicine for the treatment of digestive system tumors has the characteristics of combining cold and warming,replenishing and reducing treatment,and treating the liver and spleen at the same time.The medicine is mainly used to replenish qi and invigorate the spleen,promote blood circulation and remove blood stasis,and clear away heat and detoxification.Replenish qi,nourish yin,invigorate blood,and detoxify are mainly compatible with each other,reflecting the pathogenesis characteristics of"deficiency,stasis,and toxin"in digestive system tumors.Data mining can provide references for the prescription and compatibility of Chinese patent medicines. 展开更多
关键词 Digestive system tumors traditional Chinese patent medicine data mining Core network
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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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Identification of core compositions of traditional Chinese medicine for Seborrheic Dermatitis using data mining techniques
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作者 Meng-Xi Gao Ai-Ying Zhang +3 位作者 Zhi-Dan Cao Wei Fan Tian-Tian Gai Yan Wang 《Medical Data Mining》 2019年第4期134-141,共8页
Objective:To explore the clinical medication rule of seborrheic dermatitis in modern Chinese medicine by data mining,in order to benefit the clinical treatment of seborrheic dermatitis in traditional Chinese medicine.... Objective:To explore the clinical medication rule of seborrheic dermatitis in modern Chinese medicine by data mining,in order to benefit the clinical treatment of seborrheic dermatitis in traditional Chinese medicine.Methods:From January 1,2010 to September 4,2019,articles on Chinese medicine for seborrheic dermatitis were searched systematically in CNKI,VIP and Wan Fang databases.Prescription databases were established through the Chinese Medicine Inheritance assistant system to mine and analyze the rules of data.Results:69 researches were screened out,72 prescriptions for seborrheic dermatitis.13 drugs were used more than or equal to 15 times,and 9 pairs of commonly used drugs with correlation coefficient above 0.045 were selected.Six core combinations and two new prescriptions were obtained.Conclusion:Data mining method was used to analyze the high-frequency drugs and drug pairs,which reflected the treatment principle of clearing heat and removing dampness,nourishing blood and moistening dryness,promoting qi and strengthening spleen in the clinical treatment of seborrheic dermatitis,and provided more intuitive research evidence for the follow-up clinical treatment. 展开更多
关键词 Seborrheic dermatitis Medication rule traditional Chinese medicine data mining
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A retrospective study on professor Gui-Qi Xuan’s experience in traditional Chinese medicine treatment on attention-deficit hyperactivity disorder: based on data mining and network pharmacology
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作者 Jue Hu Dan-Fei Chen +6 位作者 Fang-Fang Li Nuo Chen Chun-Lu Ye Ke-Pin Yu Xiao-Bo Xuan Gui-Qi Xuan Jian Chen 《Life Research》 2023年第3期10-24,共15页
Background:To investigate the clinical medication approach of Professor Guiqi Xuan(Prof.Xuan)in treating pediatric patients with attention-deficit hyperactivity disorder(ADHD)and the potential mechanism of the core he... Background:To investigate the clinical medication approach of Professor Guiqi Xuan(Prof.Xuan)in treating pediatric patients with attention-deficit hyperactivity disorder(ADHD)and the potential mechanism of the core herbal prescription.Methods:Following medical record information pretreatment,the Traditional Chinese Medicine(TCM)inheritance computing platform system V3.0 was utilized to analyze the standardized data.The associate rules were summarized to identify the core prescription for treating ADHD.The extracted core herbal prescription’s active compounds and potential targets were used to establish a protein-protein interaction network of active ingredient-disease targets.Cytoscape 3.9.1 software was used to analyze the network’s topological parameters to obtain the key active ingredients and their targets.The Bioconductor data package of R4.0.2 was used to analyze the gene ontology biological functions and Kyoto Encyclopedia of Genes and Genomes pathways of key targets.Results:Two hundred and twenty-seven entries derived from TCM record information were selected.Through data mining,it was found that 62.5%of pediatric patients had short-tempered behavior,nearly half had sleep problems,and 30%-40%had picky eating and polyphagia issues.The highest-frequency syndrome type was kidney deficiency and liver hyperactivity.Deficiency,fire,phlegm,and dyspeptic food were the main pathological factors for ADHD.Prof.Xuan’s treatment of ADHD mainly focused on replenishing kidney essence and subduing Yang(active,external,ascending,warm,bright,functional and excited pertain to Yang).The core herbal prescription for ADHD included Yuan-zhi,Yi-zhi,Gui-jia,Bai-shao,Long-chi,Ci-shi,Shi-chang-pu,Yu-jin,Fu-shen,and Huang-jing.The protein-protein interaction network showed that MAOA,ADRB2,FOS,MAOB,and SLC6A3 were the five key targets essential in treating ADHD with core herbal prescriptions.The gene ontology biological function of crucial targets mainly involved G protein-coupled amine receptor activity,catecholamine binding,and neurotransmitter transmembrane transporter activity.Analysis of Kyoto Encyclopedia of Genes and Genomes pathways showed that the dopaminergic synapse signaling and neuroactive ligand-receptor interaction pathways were significantly enriched and may be the primary routes for the main treatment of ADHD.Conclusion:Prof.Xuan’s treatment of ADHD has achieved satisfactory clinical effects by supplementing the kidney,replenishing the essence,opening the orifices,nourishing the Yin(static,internal,descending,cold,dim,organic,depressed and pertain to Yin),and subduing the Yang.The major prescription predominantly affects catecholamine binding,neuroactive ligand-receptor interaction,G protein-coupled amine receptor function,and signaling pathways for dopaminergic synapses.Our findings showed that the methodology and software used in this research could explore and analyze the mechanism behind Prof.Xuan’s clinical medication rule for treating ADHD in children. 展开更多
关键词 Chinese traditional medicine data mining Retrospective clinical studies Network pharmacology Attention-deficit hyperactivity disorder Mechanism of action
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Identifying medication regularity of traditional Chinese medicine and potential pharmacological mechanism of Jiedu Sangen decoction in colorectal cancer treatment by data mining and network pharmacology
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作者 Xin-Ru Jia Xiang-Chang Ying +3 位作者 Yu-Wei Xia Li-Hui Qian Lei-Tao Sun Pei-Pei Wang 《Gastroenterology & Hepatology Research》 2023年第3期12-28,共17页
Objective:Colorectal cancer(CRC)is one of the most common malignancies in the world,and traditional Chinese medicine(TCM)is widely used in its treatment in China.However,the medication rules of TCM for CRC treatment r... Objective:Colorectal cancer(CRC)is one of the most common malignancies in the world,and traditional Chinese medicine(TCM)is widely used in its treatment in China.However,the medication rules of TCM for CRC treatment remain unclear.Therefore,data mining combined with network pharmacology was utilized to establish treatment principles and rules.Methods:The CRC cases treated at Zhejiang Provincial Hospital of Chinese Medicine from January 1,2016 to October 31,2021 were analyzed using data mining methods.UPLC-Q/TOF-MS analysis was performed to identify the chemical composition of Jiedu Sangen decoction(JSD).Network pharmacology was used to reveal the therapeutic mechanism of JSD.Results:A total of 312 cases 2,998 prescriptions that met the inclusion criteria used 343 kinds of traditional Chinese medicines.The nature of the herbs used in treatment was mainly warm and mild.The taste was mainly sweet,bitter,and pungent.The meridian tropisms were mainly the spleen meridian,followed by lung and stomach meridians.Tonifying and replenishing herbs were the most frequently used in treatment.High-frequency herbs were classified into 11 categories by cluster analysis,and 42 association rules were obtained by association rule analysis.Combined with complex network analysis,3 core prescriptions for clinical CRC treatment were obtained.Jiedu Sangen decoction contains 64 chemical ingredients,out of which 31 active ingredients were identified,including polydatin,caffeic acid,and glutamic acid,along with 130 potential targets such as AKT1,SRC,and MAPK1.Jiedu Sangen decoction may play a role in regulating inflammation,immunity,metabolism,and hormones in the development of CRC via pathways such as the relaxin signaling pathway,IL-17 signaling pathway,prolactin signaling pathway,and T cell receptor signaling pathway.Conclusions:This study summarizes the treatment and medication principles for clinical CRC treatment,promoting the inheritance and development of the traditional Chinese medical experience. 展开更多
关键词 data mining network pharmacology traditional Chinese medicine colorectal cancer Jiedu Sangen decoction
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A cross-sectional study on traditional Chinese medicine syndromes distribution for chronic atrophic gastritis based on data mining
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作者 Ze-Hui Chen Li-Xin Ma +3 位作者 Yue Wei Hai-Xiao Han En-Long Xing Jin-Xiang Yang 《Medical Data Mining》 2021年第3期10-23,共14页
Background:Chronic atrophic gastritis(CAG)is a common digestive system disease characterized by reduced gastric mucosa inherent glands and often accompanied by intestinal metaplasia and dysplasia.Traditional Chinese m... Background:Chronic atrophic gastritis(CAG)is a common digestive system disease characterized by reduced gastric mucosa inherent glands and often accompanied by intestinal metaplasia and dysplasia.Traditional Chinese medicine believes that syndrome elements dampness and blood stasis are closely related to the occurrence and development of CAG and promote the occurrence of precancerous lesions of gastric cancer.However,there is a lacking of more in-depth and detailed study on the above syndrome elements.This study aimed to made a quantitative description by cross-sectional study on the frequency of key syndrome elements dampness and blood stasis of CAG.Methods:201 CAG patients who met with inclusion criteria were divided into 4 groups including:only dampness group,only blood stasis group,none of dampness and blood stasis group,dampness and blood stasis group according to their four diagnostic information.The severities and levels of patients’clinical symptoms,pathological signs and patient-reported outcome scale used as evaluation indexes were collected.Data mining method of exploratory factor analysis was used for statistics.Results:The results suggested that the frequencies of dampness and blood stasis were reflected in the severity and levels of gastric symptoms,helicobacter pylori infection and the distribution and severity of dysplasia.And blood stasis played a more prominent role in promoting the progression of the CAG to cancer.Conclusion:Our results might provide a quantitative syndrome description for the traditional Chinese medicine differentiation in treating precancerous lesions of gastric cancer and preventing gastric cancer. 展开更多
关键词 Chronic atrophic gastritis Precancerous lesions of gastric cancer traditional Chinese medicine syndrome data mining
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Analysis on medication rule of traditional Chinese medicine treating chemotherapy-induced diarrhea based on traditional Chinese medicine(TCM) inheritance computing platform system 被引量:1
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作者 Yu Gao Shao-Bo Hu +2 位作者 Chao Deng Fei Su Li-Qun Jia 《Journal of Hainan Medical University》 2022年第7期65-70,共6页
Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Ch... Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Chinese medicine”,“chemotherapy”and“diarrhea”as the theme words,comprehensive search of the database of CNKI,Wanfang and VIP from its inception to November 2020 was conduct-ed.The formulas of external treatment of traditional Chinese medicine for chemotherapy-induced diarrhea were included and the association rule,clustering and factor analysis were carried out.Results:A total of 145 papers,57 prescriptions meeting the inclusion criteria were collected,among which high-frequency drugs including Baizhu(Atractylodis macrocephalae rhizoma),Fuling(Poria),Dangshen(Codonopsisradix),Huanglian(Coptidis rhizoma),Zhigancao(Glycyrrhizae radix et rhizoma praeparata cum melle)were the most commonly used.The confidence level was set as 0.7 and the support level was set as 10,12 core compatibility groups were obtained,and 6 categories were cluster analyzed.Conclusion:The principle of external treatment of chemotherapy-induced diarrhea is mainly“restore deficiency and benefiting qi”,“benefiting water infiltration and dampness”,“clearing heat”and“inducing astringency”.Prescription combination and new prescription combination based on traditional Chinese medicine(TCM)inheritance computing platform system can be used as reference for clinicians and applied in primary hospitals. 展开更多
关键词 Chemotherapy induced diarrhea traditional Chinese medicine Medication regulation data mining traditional Chinese medicine(TCM) inheritance computing platform SYSTEM
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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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The basic core traditional C hinese medicine for the prevention and treatment of COVID-19 and its active mechanisms
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作者 Zhe Xu Zi-Xin Li +3 位作者 Zi-Yao Geng Rong-Li Shu Hui-Fang Zhou Yu-Hong Bian 《Pharmacology Discovery》 2024年第1期21-30,共10页
Background:COVID-19 has had a dramatic impact on human health,economies,societies,and livelihoods around the world.Traditional Chinese medicine(TCM)formulae have played an important role in the prevention and treatmen... Background:COVID-19 has had a dramatic impact on human health,economies,societies,and livelihoods around the world.Traditional Chinese medicine(TCM)formulae have played an important role in the prevention and treatment of COVID-19.WHO evaluated the role of TCM in treating of COVID-19 and encouraged other countries to promote the use of TCM formulae.However,the key is to find the basic core traditional Chinese medicine(BC-TCM)among those formulae.Methods:For the first time,we mined the data of TCM formulae in CNIPA and analyzed herb characteristics and association rules.We then determined the BC-TCM and screened main compounds and therapeutic targets.Finally,the potential molecular mechanisms were explored by using enrichment analyses and molecular docking.Results:This study screened 123 patented TCM formulae,including 312 herbs.According to frequency statistics and association rules,nine herbs(Gan Cao,Jin Yinhua,Guang Huoxiang,Fu Ling,Huang Qi,Jie Geng,Lian Qiao,Cang Zhu,Ku Xingren)were selected as the BC-TCM.The BC-TCM involved 166 main compounds and 48 therapeutic targets.The active compounds Hederagenin,Spinasterol,Beta-sitosterol,and Liquiritin had high binding activity to the COVID-19 targets 3CL,ACE2,and core targets RELA,HSP90AA1,STAT3,MAPK3,and TP53 according to molecular docking results.Interestingly,Hederagenin might be a potential compound for the prevention and treatment of COVID-19.Conclusion:Our research predicted and confirmed the preventive therapeutic effect of BC-TCM on COVID-19.This has the potential to broaden the scope of TCM,guide people in using clinical formulae,and provide valuable insights for future TCM discovery research. 展开更多
关键词 COVID-19 traditional Chinese medicine China national intellectual property administration data mining network pharmacology
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Based on the national patent database to explore the rule of traditional Chinese medicine in the treatment of hyperlipidemia
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作者 Ran Zhao Zong-Liang Yu +1 位作者 Long-Tao Liu Min Wu 《Journal of Hainan Medical University》 2022年第15期53-53,共1页
Objective:To explore the medication law of traditional Chinese medicine compound patent for hyperlipidemia,and to provide reference for the research and development of traditional Chinese medicine new drugs for clinic... Objective:To explore the medication law of traditional Chinese medicine compound patent for hyperlipidemia,and to provide reference for the research and development of traditional Chinese medicine new drugs for clinical treatment of hyperlipidemia.Methods:All compound TCM patents related to the treatment of hyperlipidemia were searched and extracted from the national patent database(http://epub.sipo.gov.cn)from the establishment of the database to 10st,March 2021.The data was established by the TCM Inheritance Support System(V2.5)and Microsoft Excel 2010 Softwore,and used to conduct TCM syndromes,frequency statistics,four nature and five flavors of traditional Chinese medicine,meridian attribution statistics.IBM SPSS statistics 20 software was used for drug clustering analysis,IBM SPSS modeler 18.2.2 software was used for association rules and web visualization analysis.Results:Totally 284 compound TCM patents were included,involving 577 kinds of Chinese medicine,and the most common syndrome was Yin deficiency of liver and kidney syndrome(74 times,accounting for 26.06%).The most ten common Chinese materiamedica was Hawthorn,Salvia miltiorrhiza,Alismaorientalis,Cassia seed,Polygonummultiflorum,Licorice,Poriacocos,chinese rhubarb,dried tangerine peel,Radix Paeoniae Alba.The top three appeared frequently in drug categories were tonifying deficiency medicine,activating blood-circulation and dissipating blood-stasis medicine,and heat-clearing medicine,respectively.The top two of its drug properties were warm and cold;the top three drug tastes were sweet,bitterness and pungent;the top two meridians were liver and spleen meridian,respectively.Seven drug groups were obtained by cluster analysis,and 16 were obtained by association rule analysis,including 5 drug pairs and 11 three drug groups.Conclusion:Through the data mining of the patent of traditional Chinese medicine compound prescription for regulating and treating hyperlipidemia,it is concluded that the fundamental pathogenesis of the disease is deficiency of viscera function and obstruction of phlegm and blood stasis.The clinical methods are tonifying the liver and kidney,activating blood circulation and removing stasis,resolving phlegm and removing dampness.Traditional Chinese medicine is mostly used for tonifying deficiency,activating blood circulation,removing stasis,resolving phlegm and removing dampness.This paper provides a reference for the research and development of traditional Chinese medicine for hyperlipidemia. 展开更多
关键词 HYPERLIPIDEMIA traditional Chinese medicine COMPOUND PATENT Medication rule data mining
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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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The law of Chinese herbal medicine decoction for AIDS based on data mining
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作者 Ming-Kai Wang Xue-Qin Qin +2 位作者 Yang-Kai Cai Hui-Yun Ren Li-Fen Wang 《Medical Data Mining》 2020年第1期37-48,共12页
Objective:To explore the regularity and characteristics of traditional Chinese medicine decoction for the treatment of Acquired Immunodeficiency Syndrome(AIDS)Methods:CNKI,VIP,CBM,Wanfang database and Pubmed were sear... Objective:To explore the regularity and characteristics of traditional Chinese medicine decoction for the treatment of Acquired Immunodeficiency Syndrome(AIDS)Methods:CNKI,VIP,CBM,Wanfang database and Pubmed were searched to identify potentially eligible studies on clinical observation of Chinese medicine for AIDS.Association rules and hierarchical cluster analysis were conducted.Results:It found that the high-frequency drugs were licorice,ginseng,astragalus and Scutellaria baicalensis,which accounted for more than 56.17%of the total frequency,and the most common combination of drugs was found based on association rules between high-frequency drugs.According to the meridian,the drugs associated with the spleen meridian were used most,followed by the drugs associated with lung,heart,stomach,liver and kidney meridian,which accounted for 61.12%of the total frequency of drugs associated with meridian.Conclusion:The etiology and pathogenesis of AIDS mainly include deficiency of lung and spleen qi,deficiency of liver and kidney,and yin deficiency.It has an important value for the treatment of AIDS with traditional Chinese medicine. 展开更多
关键词 AIDS data mining traditional Chinese medicine
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Network pharmacology and data analysis method to explore the traditional Chinese medicine regulates ferroptosis key genes in the occurrence and prognosis of lupus nephritis
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作者 Ai-Tao Lin Jin-Yu Wu Zhi-Ying Zhang 《TMR Pharmacology Research》 2023年第3期25-32,共8页
Purpose:To explore the traditional Chinese medicine(TCM)regulates ferroptosis key genes in the occurrence and development of lupus nephritis(LN)based on biological information database.Patients and methods:Ferroptosis... Purpose:To explore the traditional Chinese medicine(TCM)regulates ferroptosis key genes in the occurrence and development of lupus nephritis(LN)based on biological information database.Patients and methods:Ferroptosis related genes were identified based on FerrDb database and literature retrieval.Used the OMIM,Gene Cards,Drug Bank to obtain the targets of LN.Cytoscapes 3.8.2 software and STRING database were used to analyze protein-protein interaction(PPI)network.Metacape software and Weishengxin were used to analyze the gene ontology(GO)classification and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis.UniProt Database and Traditional Chinese Systems Pharmacology Database and Analysis Platform analysis platform were used to obtain the data table of key TCM and related targets.Cytoscapes 3.8.2 software was used to analyze the PPI network.Results:A total of 401 ferroptosis-related genes,361 LN related genes and 21“Ferroptosis-LN”intersection genes were obtained.Ferroptosis in the occurrence and prognosis of LN mainly involved the inflammatory response,cell activation,positive regulation of chemokine production and it was mainly involved in necroptosis,inflammatory bowel disease,ferroptosis and other pathways.A total of 412 TCMs containing key genes of“Ferroptosis-LN”were acquired.The most key genes were contained in Mahuang,Gehua,Baiguo,Chuanniuxi,Jinyinhua.15 key genes of“TCM-LN”were obtained.5 ferroptosis-related key genes in LN regulated by TCM were obtained,which were IL1β,TLR4,IFNG,STAT3 and HMOX1.Conclusion:TCM,such as Mahuang,Gehua,Baiguo,Chuanniuxi,Jinyinhua,may affect the occurrence and development of LN through the key ferroptosis genes,such as IL1B,TLR4,IFNG,STAT3 and HMOX1. 展开更多
关键词 lupus nephritis network pharmacology data mining ferroptosis traditional Chinese medicine
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An improved association-mining research for exploring Chinese herbal property theory: based on data of the Shennong's Classic of Materia Medica 被引量:15
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作者 Rui Jin Zhi-jian Lin +1 位作者 Chun-miao Xue Bing Zhang 《Journal of Integrative Medicine》 SCIE CAS CSCD 2013年第5期352-365,共14页
Knowledge Discovery in Databases is gaining attention and raising new hopes for traditional Chinese medicine (TCM) researchers. It is a useful tool in understanding and deciphering TCM theories. Aiming for a better ... Knowledge Discovery in Databases is gaining attention and raising new hopes for traditional Chinese medicine (TCM) researchers. It is a useful tool in understanding and deciphering TCM theories. Aiming for a better understanding of Chinese herbal property theory (CHPT), this paper performed an improved association rule learning to analyze semistructured text in the book entitled Shennong's Classic of Materia Medica. The text was firstly annotated and transformed to well-structured multidimensional data. Subsequently, an Apriori algorithm was employed for producing association rules after the sensitivity analysis of parameters. From the confirmed 120 resulting rules that described the intrinsic relationships between herbal property (qi, flavor and their combinations) and herbal efficacy, two novel fundamental principles underlying CHPT were acquired and further elucidated: (1) the many-to-one mapping of herbal efficacy to herbal property; (2) the nonrandom overlap between the related efficacy of qi and flavor. This work provided an innovative knowledge about CHPT, which would be helpful for its modern research. 展开更多
关键词 traditional Chinese medicine Chinese herbal property theory association rulelearning knowledge discovery data mining
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