基于数据挖掘的孟河名医杨博良治疗外感病证用药规律研究

Analysis on the principle of Yang Boliang for the treatment of exogenous diseases based on apriori and clustering algorithm

目的：探讨杨博良先生治疗外感病证的用药规律。方法收集杨博良先生治疗外感病证处方，在建立数据库的基础上，采用关联规则apriori算法和复杂系统熵聚类等无监督数据挖掘方法开展研究。结果高频次药物包括茯苓、栀子、法半夏、郁金、黄芩、通草、赤茯苓、竹茹、豆豉、苦杏仁、茯神、连翘等，核心组合包括“连翘-牛蒡子-豆豉”、“豆卷-甘草-滑石-茯神”、“苦杏仁-桔梗-桑叶”等。结论杨博良先生治疗外感病证多用清热解表、利水除湿之品。

Objective To analyze the experience of Yang Boliang for the treatment of exogenous diseases. Methods The prescriptions for exogenous diseases that used by Yang Boliang were collected to build a database, and analyzed by the unsupervised data mining methods, such as apriori algorithm, entropy Clustering complex systems. Results The most frequently used drugs were tuckahoe, stir-baked fructus gardenia, rhizoma pinellinae praeparata, radix curcumae, radix scutellariae, tetrapanacis medulla, poria cocos, caulis bambusae in taenian, lobster sauce, bitter almond, poria with hostood, fructus forsythiae and so on. The core drug combinations were “fructus forsythia- burdock- lobster sauce”, “semen sojae germinatum- radix liquiritiae-talcum- poria with hostood”, “bitter almond- balloon flower- mulberry leaf”, and so on. Conclusion Yang Boliang treated exogenous diseases by using the drugs with relieving superficies by cooling, dispelling dampness and promoting dieresis.