文章摘要
丁敏芮,邵婧怡,周玲芳,等.从《中华医典》探析中风后口眼歪斜的用药特点[J].浙江中医药大学学报,2019,43(5):518-522.
从《中华医典》探析中风后口眼歪斜的用药特点
Analysis of Medication Characteristics of Post-stroke Mooth and Eye Deviation from Chinese Medical Records
DOI:10.16466/j.issn1005-5509.2019.05.027
中文关键词: 中风病  口眼歪斜  数据挖掘  关联分析  防风  配伍规律
英文关键词: stroke  oral and eye inclination  data mining  association analysis  Fangfeng  compatibility rules
基金项目:国家自然科学基金项目(81774010)
作者单位E-mail
丁敏芮 浙江中医药大学第一临床医学院 杭州 310053  
邵婧怡 浙江中医药大学第一临床医学院 杭州 310053  
周玲芳 浙江中医药大学第一临床医学院 杭州 310053  
施侠威 浙江中医药大学第一临床医学院 杭州 310053  
李鑫举 天津中医药大学中医学院  
金竹青 浙江中医药大学基础医学院 jinzq@hotmail.com 
摘要点击次数: 2548
全文下载次数: 1111
中文摘要:
      [目的]通过文献总结归纳中风后口眼歪斜的常用药物及配伍规律。[方法]收集《中华医典5.0》中治疗中风后口眼歪斜的古代及近代中药处方,通过Microsoft Office Excel 2013软件建立规范化数据库,并利用SPSS Statistics24和SPSS Modeler18.0软件对数据库中的处方进行频数分析和关联分析。[结果]研究最终纳入方剂621首,中药331味,药物总频次7880次。其中最常用单味药物为防风,频率达47.5%。最常见药类为解表药、补虚药、平肝熄风药、祛风湿药、活血化瘀药、温里药。常用药组蝎梢-天麻-僵蚕在设定支持度15%、置信度70%条件下出现频次最高。[结论]数据挖掘结果体现了先贤治疗中风后口眼歪斜重视单味药物防风的应用及虫类药与平肝熄风药的配伍使用,对现代遣方用药具有一定借鉴意义。
英文摘要:
      [Objective] To summarize the commonly used drugs and compatibility rules of deviation of mouth and eye after apoplexy through literature review. [Method] The ancient and modern Chinese medicine prescriptions for the treatment of mouth and eye deviation after apoplexy in Chinese Medical Code 5.0 were collected. A standardized database was established by Microsoft Office Excel 2013 software. The prescriptions in the database were analyzed by SPSS Statistics 24 and SPSS Modeler 18.0 software. [Result] 621 prescriptions, 331 traditional Chinese medicines and 7880 total drug frequencies were included in the study.The most commonly used single drug is Fangfeng, with a frequency of 47.5%. The most common medicines are antiphlogistic drugs, tonifying deficiency drugs, liver-calming and wind-quenching drugs, rheumatism-dispelling drugs, blood-activating and stasis-removing drugs and warming-interior drugs. Scorpion shoot-Gastrodia elata-Bombyx Batryticatus has the highest frequency under the condition of 15% set support and 70% confidence. [Conclusion] Data mining method can explain the experience of ancient prescription medication comprehensively, which has certain reference significance for modern prescription medication.
查看全文   查看/发表评论  下载PDF阅读器
关闭