Clinical databases have accumulated large quantities of information about patients and their medical conditions. Current challenges in biomedical research and clinical practice include information overload and the nee...Clinical databases have accumulated large quantities of information about patients and their medical conditions. Current challenges in biomedical research and clinical practice include information overload and the need to optimize workflows, processes and guidelines, to increase capacity while reducing costs and improving efficiency. There is an urgent need for integrative and interactive machine learning solutions, because no medical doctor or biomedical researcher can keep pace today with the increasingly large and complex data sets – often called "Big Data".展开更多
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
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
目的:应用数据挖掘和网络药理学方法探讨中药熏洗方治疗肛周湿疹的用药规律及机制。方法:检索中国知网、万方、维普、中国生物医学文献数据库2011年1月1日至2020年12月31日关于中药熏洗治疗肛周湿疹的文献;采用中医传承辅助平台V3.0软...目的:应用数据挖掘和网络药理学方法探讨中药熏洗方治疗肛周湿疹的用药规律及机制。方法:检索中国知网、万方、维普、中国生物医学文献数据库2011年1月1日至2020年12月31日关于中药熏洗治疗肛周湿疹的文献;采用中医传承辅助平台V3.0软件对处方用药频次、药性、药味、归经、组方规律、药物核心组合进行分析。通过中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology database and analysis platform,TCMSP)检索用药规律所得苦参汤中8味药物的活性成分及其对应的药物靶点;运用人类基因数据库(the human gene database,GeneCards)获取肛周湿疹的疾病靶点;使用Venny 2.1.0作图工具映射药物与疾病交集靶点,并构建韦恩图;运用STRING数据库及Cytoscape 3.8.2软件构建靶点蛋白-蛋白互作网络(protein-protein interactions,PPI),筛选核心作用靶点,构建“药物-活性成分-作用靶点”网络;应用R语言的clusterProfiler包进行基因本体论(gene ontology,GO)及京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果:共筛选出符合标准的文献386篇,纳入中药处方360首,涉及中药188味;用药频次≥10次的药物共51味,四气分类以寒性为主,五味分类以苦味及辛味为主,药物归经以肝经、胃经及脾经为主;组方规律分析得到高频药对30对,最终演化得到核心组合4个,从用药规律得出苦参汤是治疗肛周湿疹的特效方。共筛选出苦参汤中137个活性成分和224个潜在靶点,与肛周湿疹相关作用靶点24个,经拓扑分析得到3个核心治疗靶点;筛选出槲皮素、木犀草素、山柰酚、金合欢素、苦参碱5个有效活性成分;GO富集分析得到1354个生物学过程、34个细胞组成及71个分子功能;KEGG通路富集分析得到97条信号通路。结论:苦参汤是治疗肛周湿疹的中药古方,苦参汤通过多成分、多靶点、多通路发挥治疗肛周湿疹的作用。展开更多
目的:基于数据挖掘探讨中医药治疗妊娠糖尿病(GDM)用药规律。方法:检索中国知网、万方、维普数据库、PubMed、Web of Science、Embase数据库自建库至2023年2月期间中医治疗GDM的中英文文献并收集处方,对证素及所用中药进行频数分析,对GD...目的:基于数据挖掘探讨中医药治疗妊娠糖尿病(GDM)用药规律。方法:检索中国知网、万方、维普数据库、PubMed、Web of Science、Embase数据库自建库至2023年2月期间中医治疗GDM的中英文文献并收集处方,对证素及所用中药进行频数分析,对GDM相关证素病机规律、药物配伍规律进行关联规则分析,对GDM高频药物进行聚类分析。结果:共纳入304篇GDM中医临床研究文献,含411条证素诊断记录,347条处方用药记录。GDM病性证素以阴虚、气虚最为常见,病位证素常见于肾、脾、肝。关联规则分析获得证素间的16条主要规则。GDM处方用药涉及128味中药,使用总频次3083次,用药频次≥30次的高频药物28味,药性以寒、温、平为主,药味以甘、苦、辛为主,归经情况以肾、肺、脾、肝、心、胃为多见。关联规则分析获得28条有效药物关联规则,支持度排名前三为:泽泻→山药、女贞子→黄芪、泽泻+茯苓→山药。将28味高频药物聚为4类效果较好。结论:GDM病机中病性以阴虚、气虚最为常见,二者常相伴出现,病位常见于肾、脾、肝,其中肝肾、脾肾间存在关联。GDM用药以甘味,寒、温、平性药为主,药类以滋阴补虚药为主,常用药物之间的配伍以补气生津、健脾补肾为主。展开更多
文摘Clinical databases have accumulated large quantities of information about patients and their medical conditions. Current challenges in biomedical research and clinical practice include information overload and the need to optimize workflows, processes and guidelines, to increase capacity while reducing costs and improving efficiency. There is an urgent need for integrative and interactive machine learning solutions, because no medical doctor or biomedical researcher can keep pace today with the increasingly large and complex data sets – often called "Big Data".
基金Beijing Science and Technology Program(No.Z191100006619065)National Key R&D Program(No.2017YFC1700101)。
文摘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.
文摘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.
文摘目的:应用数据挖掘和网络药理学方法探讨中药熏洗方治疗肛周湿疹的用药规律及机制。方法:检索中国知网、万方、维普、中国生物医学文献数据库2011年1月1日至2020年12月31日关于中药熏洗治疗肛周湿疹的文献;采用中医传承辅助平台V3.0软件对处方用药频次、药性、药味、归经、组方规律、药物核心组合进行分析。通过中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology database and analysis platform,TCMSP)检索用药规律所得苦参汤中8味药物的活性成分及其对应的药物靶点;运用人类基因数据库(the human gene database,GeneCards)获取肛周湿疹的疾病靶点;使用Venny 2.1.0作图工具映射药物与疾病交集靶点,并构建韦恩图;运用STRING数据库及Cytoscape 3.8.2软件构建靶点蛋白-蛋白互作网络(protein-protein interactions,PPI),筛选核心作用靶点,构建“药物-活性成分-作用靶点”网络;应用R语言的clusterProfiler包进行基因本体论(gene ontology,GO)及京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果:共筛选出符合标准的文献386篇,纳入中药处方360首,涉及中药188味;用药频次≥10次的药物共51味,四气分类以寒性为主,五味分类以苦味及辛味为主,药物归经以肝经、胃经及脾经为主;组方规律分析得到高频药对30对,最终演化得到核心组合4个,从用药规律得出苦参汤是治疗肛周湿疹的特效方。共筛选出苦参汤中137个活性成分和224个潜在靶点,与肛周湿疹相关作用靶点24个,经拓扑分析得到3个核心治疗靶点;筛选出槲皮素、木犀草素、山柰酚、金合欢素、苦参碱5个有效活性成分;GO富集分析得到1354个生物学过程、34个细胞组成及71个分子功能;KEGG通路富集分析得到97条信号通路。结论:苦参汤是治疗肛周湿疹的中药古方,苦参汤通过多成分、多靶点、多通路发挥治疗肛周湿疹的作用。
文摘目的:基于数据挖掘探讨中医药治疗妊娠糖尿病(GDM)用药规律。方法:检索中国知网、万方、维普数据库、PubMed、Web of Science、Embase数据库自建库至2023年2月期间中医治疗GDM的中英文文献并收集处方,对证素及所用中药进行频数分析,对GDM相关证素病机规律、药物配伍规律进行关联规则分析,对GDM高频药物进行聚类分析。结果:共纳入304篇GDM中医临床研究文献,含411条证素诊断记录,347条处方用药记录。GDM病性证素以阴虚、气虚最为常见,病位证素常见于肾、脾、肝。关联规则分析获得证素间的16条主要规则。GDM处方用药涉及128味中药,使用总频次3083次,用药频次≥30次的高频药物28味,药性以寒、温、平为主,药味以甘、苦、辛为主,归经情况以肾、肺、脾、肝、心、胃为多见。关联规则分析获得28条有效药物关联规则,支持度排名前三为:泽泻→山药、女贞子→黄芪、泽泻+茯苓→山药。将28味高频药物聚为4类效果较好。结论:GDM病机中病性以阴虚、气虚最为常见,二者常相伴出现,病位常见于肾、脾、肝,其中肝肾、脾肾间存在关联。GDM用药以甘味,寒、温、平性药为主,药类以滋阴补虚药为主,常用药物之间的配伍以补气生津、健脾补肾为主。
