摘要
目的基于Apriori算法,通过"前N组"法挖掘医家经验方。方法将陈守强副主任医师的2647份病历输入电子病历管理系统[1],通过Apriori算法挖掘出其治疗冠心病的高频中药组合,以药味最多的组合为母板,加入与前N组高频中药组合中不同的中药,从而总结出经验方。结果挖掘出的经验方由川芎、丹参、甘草、黄芪、木香、麦冬、五味子、焦三仙、黄连、连翘10味中药组成,与其临床常用的胸痹2号方类似。结论该方法在名老中医经验传承中具有一定的意义,值得推广。
Objective Based on Apriori algorithm , mine the medical empirical formula by “top N groups” method.Methods input the 2, 647 medical records of Chen Shouqiang , Associate Chief Physician , into the electronic medical records management system;mine the high-frequency combination of traditional Chinese medicine for treatment of coronary heart disease via the Apriori algorithm ;take the combination with most kinds of herbal medicines as the motherboard , and then add Chinese medicine different from what included in the top N groups of high-frequency combinations of traditional Chinese medicine; thus we can sum up the empirical formula .Results the empirical formula mined consists of 10 herbs （i.e.rhizome of Ligusticum wallichii, salvia miltiorrhiza, licorice Roots Northwest Origin, radix astragali, Costustoot , tuber of dwarf lilyturf , Schisandra chinensis , charred triplet , Coptis chinensis and fructus forsythiae ） , which is similar with the chest stuffiness No .2 formula commonly used in clinic .Conclusion This method has some significance in the experience heritage of distinguished veteran doctors of TCM , and it is worth promoting .
出处
《光明中医》
2015年第6期1181-1183,共3页
GUANGMING JOURNAL OF CHINESE MEDICINE
关键词
经验方
名老中医
APRIORI算法
“前N组”法
empirical formula
distinguished veteran doctors of TCM
Apriori algorithm
“top N groups” method
