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基于中医传承辅助平台的藏族医治疗浮肿用药规律分析     被引量:11

Analysis of Medication Laws for Tibetan Medicine in Treatment of Edema Based on Traditional Chinese Medicine Inheritance Support System

文献类型:期刊文献

中文题名:基于中医传承辅助平台的藏族医治疗浮肿用药规律分析

英文题名:Analysis of Medication Laws for Tibetan Medicine in Treatment of Edema Based on Traditional Chinese Medicine Inheritance Support System

作者:贡保东知[1];郭伟晨[1];阿达[2];更藏加[1,3];刚焕晨雷[1]

第一作者:贡保东知

机构:[1]成都中医药大学民族医药学院,成都611137;[2]甘肃中医药大学藏医学院,甘肃合作747000;[3]青海大学藏医学院,西宁810016

第一机构:成都中医药大学民族医药学院,成都611137

年份:2017

卷号:23

期号:12

起止页码:208

中文期刊名:中国实验方剂学杂志

外文期刊名:Chinese Journal of Experimental Traditional Medical Formulae

收录:CSTPCD;;北大核心:【北大核心2014】;CSCD:【CSCD_E2017_2018】;

基金:国家教育部青年基金项目(16XJC850001);青海大学医学院中青年科学基金(2016-KY-8);青海大学三类课程建设项目(KCFL-15-3-4)

语种:中文

中文关键词:浮肿;中医传承辅助系统(V2.5);数据挖掘;藏族药方剂

外文关键词:edema; Traditional Chinese Medicine Inheritance Support System (V2.5); data mining; Tibetan medicine prescription

摘要:目的:基于中医传承辅助平台软件(V2.5)系统,挖掘藏族医方剂中收载的治疗浮肿方剂的组方规律。方法:将藏族医方剂中主治浮肿的方剂录入中医传承辅助平台,构建治疗浮肿的藏族医方剂数据库,采用软件集成的改进互信息法、复杂系统熵聚类、无监督的熵层次聚类等方法,确定处方中药物出现的频次、常用药对及组合,分析治疗浮肿的藏族医方剂的组方规律。结果:筛选出治疗浮肿的135首藏族药方剂,其中使用频率最高的是荜茇,其次是诃子、藏红花、余甘子等。发现支持度≥10%,置信度≥0.9的关联规则共演化得到核心组合44个,新处方21个。结论:中医传承辅助系统可实现藏族药方剂数据的录入、管理、查询和分析等功能,对于研究藏族药组方规律具有重要价值。利用中医传承辅助系统分析了藏族医治疗浮肿的方剂组方规律,为藏族医治疗浮肿的临床应用和新药开发提供参考依据。
Objective: To excavate prescription laws of Tibetan Medicine in treating edema based on Traditional Chinese Medicine Inheritance Support System (TCMISS, V2.5). Method: Prescriptions of Tibetan Medicine for edema were entered into TCMISS to build a Tibetan medicine prescriptions database for treating edema. Software-integrated mutual information improvement method, complex system entropy cluster and unsupervised entropy hierarchical clustering method were adopted to determine the drug use frequency in prescription, commonly used drug pairs and combinations, and analyze Tibetan medicine prescription laws for treating edema. Result: Totally 135 Tibetan medicinal herbs for treating edema were screened out, Among them, Piperis Longi Fructus was the most frequently used, which was followed by Chebulae Fructus, Cartharni Flos, Phyllanthi Fmblicae Fructus and so on. Based on the association rules of a support degree ≥ 10% and a confidence level≥0.9, 44 core combinations and 21 new prescriptions were evolved. Conclusion: TCMISS has important value on the study of Tibetan medicine prescription laws due to its functions of data entry, management, inquiry and analysis.

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