基于数据挖掘对急性缺血性脑卒中中医用药规律的分析

发布时间：2019-04-09 19:08

【摘要】：目的分析急性缺血性脑卒中的中医用药规律。方法收集2000年1月至2016年5月中医药治疗急性缺血性脑卒中的处方,应用SPSS Clementine12.0关联规则等数据挖掘方法,得到药物频次、药物组合、关联规则等,分析治疗急性缺血性脑卒中的用药规律。结果运用SPSS Clementine12.0对筛选出的79首处方进行分析,得到治疗急性缺血性脑卒中的高频词药物为川芎、大黄、天麻、地龙、丹参、赤芍、甘草、石菖蒲、胆南星、钩藤、半夏等26味药物;同时在S≥14%,C≥82%,L≥1.0条件下挖掘出27个关联规则,并聚类分析出5个结果。结论急性缺血性脑卒中气虚血瘀、痰热腑实、风痰阻络最为常见,而补气活血、祛瘀通络、清热化痰药在治疗上疗效明显,应用广泛。
[Abstract]:Objective to analyze the rule of traditional Chinese medicine used in acute ischemic stroke. Methods the prescriptions of traditional Chinese medicine for acute ischemic stroke from January 2000 to May 2016 were collected, and the data mining methods such as SPSS Clementine12.0 association rules were used to obtain the frequency of drugs, the combination of drugs, the association rules and so on. To analyze the rule of medication in the treatment of acute ischemic stroke. Results the 79 prescriptions were analyzed by SPSS Clementine12.0. The high frequency drugs for treating acute ischemic stroke were Rhizoma Chuanxiong, rhubarb, Gastrodia elata, Radix Salviae miltiorrhiza, Radix Paeoniae Rubra, Glycyrrhiza uralensis, Acorus calamus, Gan Nan Xing and Gouteng. 26 kinds of drugs such as Pinellia ternata; At the same time, 27 association rules were found under the conditions of S 鈮，

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