目的探索针刺治疗膝骨关节炎(KOA)的辨证选穴规律。方法检索中国知识资源总库(CNKI)、中国学术期刊数据库(万方数据)、中文科技期刊数据库(重庆维普)、中国生物医学文献数据库(CBM)、PubMed、Embase、Web of Science、Cochrane Library...目的探索针刺治疗膝骨关节炎(KOA)的辨证选穴规律。方法检索中国知识资源总库(CNKI)、中国学术期刊数据库(万方数据)、中文科技期刊数据库(重庆维普)、中国生物医学文献数据库(CBM)、PubMed、Embase、Web of Science、Cochrane Library建库至2022年11月9日针刺辨证选穴治疗KOA相关文献,提取证型、症状、选穴信息构建数据库,利用Lantern5.0及Weka3.9.6软件,采用隐结构模型、聚类分析及频繁项集对辨证选穴规律进行分析。结果纳入文献95篇,涉及患者5458例,包含症状141个,其中高频症状为活动受限、疼痛、重着等;主要证型有阳虚寒凝、风寒湿痹、肝肾亏虚、气滞血瘀证。“症状-腧穴”频繁项集5项,包括“重着+活动受限+昼轻夜重”-“阳陵泉+犊鼻”等;“证型-症状-腧穴”频繁项集4项,包括“气滞血瘀”-“刺痛+痛有定处+活动受限”-“血海+梁丘+内膝眼”等。结论肝肾亏虚及风寒湿痹是KOA的常见证型,针刺治疗KOA多以内膝眼、犊鼻、阳陵泉、梁丘、足三里为主穴,临床辨证配穴。展开更多
Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analy...Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analyze the characteristics of postal EMS service. We create a data warehouse model for EMS services and give the procedure of applying association rule mining based on it. In the end, we give an example of the whole mining procedure. This EMS Data warehouse model and association rule mining technique have been applied in a practical Postal CRM System.展开更多
文摘目的探索针刺治疗膝骨关节炎(KOA)的辨证选穴规律。方法检索中国知识资源总库(CNKI)、中国学术期刊数据库(万方数据)、中文科技期刊数据库(重庆维普)、中国生物医学文献数据库(CBM)、PubMed、Embase、Web of Science、Cochrane Library建库至2022年11月9日针刺辨证选穴治疗KOA相关文献,提取证型、症状、选穴信息构建数据库,利用Lantern5.0及Weka3.9.6软件,采用隐结构模型、聚类分析及频繁项集对辨证选穴规律进行分析。结果纳入文献95篇,涉及患者5458例,包含症状141个,其中高频症状为活动受限、疼痛、重着等;主要证型有阳虚寒凝、风寒湿痹、肝肾亏虚、气滞血瘀证。“症状-腧穴”频繁项集5项,包括“重着+活动受限+昼轻夜重”-“阳陵泉+犊鼻”等;“证型-症状-腧穴”频繁项集4项,包括“气滞血瘀”-“刺痛+痛有定处+活动受限”-“血海+梁丘+内膝眼”等。结论肝肾亏虚及风寒湿痹是KOA的常见证型,针刺治疗KOA多以内膝眼、犊鼻、阳陵泉、梁丘、足三里为主穴,临床辨证配穴。
文摘Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analyze the characteristics of postal EMS service. We create a data warehouse model for EMS services and give the procedure of applying association rule mining based on it. In the end, we give an example of the whole mining procedure. This EMS Data warehouse model and association rule mining technique have been applied in a practical Postal CRM System.
