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基于数据挖掘的噎膈用药规律分析 被引量:5

Analysis on medication regularity of dysphagia syndrome based on data mining technology
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摘要 目的挖掘分析《中医方剂大辞典精选本》中治疗噎膈方剂的组方规律和用药特点。方法筛选、整理《中医方剂大辞典精选本》中主治噎膈的方剂,应用甲骨文Oracle DataBase 11数据库软件,录入方剂用药,使用频数分析、关联分析、排列组合等数据挖掘方法,对噎膈方剂的组方规律和用药特点进行统计分析。结果通过对纳入的131首方剂的数据进行分析,确定噎膈方剂中涉及236味中药;其中高频出现核心药物是陈皮、甘草、木香、丁香、人参等;统计药物功效归类,理气药居首;总结常用药对人参-木香等28个,核心组合白术-人参-陈皮等25个。结论噎膈方剂的用药规律以理气化痰、活血化瘀、补虚为主,兼以燥湿化痰、清热解毒、软坚散结。 Objective To analyze and summarize the medication regularity of the prescriptions for the treatment of dysphagia syndrome from the Selected Book of Prescription Dictionary of TCM.Methods Prescriptions used for dysphagia syndrome were collected and sorted out from the Selected Book of Prescription Dictionary of TCM to establish the database in Oracle DataBase 11 database software and analyze the medication principles of prescriptions through data mining(frequency analysis,correlation analysis,arrangement and combination analysis and other data mining methods).Result Through the statistical analysis of the data of 131 prescriptions,the 236-flavor Chinese medicine was determined in the prescription.The core drugs at high frequency were pericarpium citri reticulatae,glycyrrhiza,elecampane eugenia caryophyllata thunb and ginseng,etc.The qi medicine is the first;By data mining,28 pairs of core herb compositions and 25 core combination were collected,such as ginseng-eugenia caryophyllata thunb,atractylodis macrocephalae-ginseng-pericarpium citri reticulatae,etc.Conclusion The prescription regularity of dysphagia syndrome is dominated by qi moving,dissolving phlegm,promoting blood circulation,replenishing righteousness,and give consideration to remove moisture,clear heat and disperse fullness.
作者 高静 张景明 GAO Jing;ZHANG Jing-ming(Shaanxi University of Chinese Medicine,Xianyang Shaanxi 712046)
机构地区 陕西中医药大学
出处 《世界中西医结合杂志》 2019年第10期1368-1371,共4页 World Journal of Integrated Traditional and Western Medicine
基金 国家中医药管理局中医基础理论重点学科 国家中医药管理局内经学重点学科 陕西省中医体质与疾病防治重点实验室资助项目
关键词 噎膈 中医方剂大辞典精选本 数据分析 用药规律 Dysphagia Syndrome Chinese Medicine Prescription Dictionary Selection Data Mining Medication Regularity
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