基于数据挖掘的癫痫用药规律探索

Analysis on Medication Regularity of Epilepsy Medicine Based on Data Mining Technology

目的:挖掘《中医方剂大辞典》中治疗癫痫方剂的用药规律。方法:收集、整理《中医方剂大辞典》中收载的治疗癫痫方剂,建立癫痫方剂文献研究数据库,采用数据挖掘技术(频数分析、聚类分析、关联规则)对其用药规律进行分析。结果:关于治疗癫痫的文献中,共涉及532首方剂和488味中药,治疗癫痫的核心药物有朱砂、甘草、人参、牛黄等,用药种类以补虚药、安神药、平肝熄风药、清热药、化痰药为主。对核心药物聚类分析,形成了6个聚类组合。通过关联规则分析,共得22条药对及药组关联规则。结论:癫痫方剂的用药规律以祛风止痉、疏肝行气、开窍醒神、活血化瘀、养心安神为主,中医治疗癫痫应针对肝风、郁火、积痰、血瘀、气乱等因素进行辨证论治,同时还应考虑正气亏虚的因素。

Objective： To summarize the medication principles of prescriptions for epilepsy from Prescription Dictionary of Traditional Chinese Medicine （TCM）. Method： Prescriptions used for epilepsy were collected from the Prescription Dictionary of Traditional Chinese Medicine to establish the literature research database of Chinese medicine prescriptions in treating epilepsy and analyze the medication principles of prescriptions through data mining （frequency analysis, clustering analysis, correlation analysis）. Result： A total of 532 prescriptions and 488 herbs were involved in the literatures about treating epilepsy. The herbs with high usage frequency in the prescriptions included Cinnabaris, Glycyrrhizae Radix et Rhizoma, Ginseng Radix Et Rhizoma, Bovis Calculus; and deficiency-nourishing drugs, sedative drugs, liver wind calming drugs, clearing-heat drugs and expectorant drugs were mainly used. Six clustering combinations can be formed based on clustering analysis of high frequency drugs. Through correlation analysis, we obtained 22 correlated rules of medicine pairs and combinations. Conclusion： The prescription regularity of epilepsy medicines is dominated by wind-dispelling and tetany-relieving, live-coursing and Qi moving, orifices-opening and spirit-arousing, blood-quickening and stasis-transforming, and tranquilizing mind by nourishing the heart. TCM for treating epilepsy shall be based on syndrome differentiation caused by such factors as liver wind, stagnated fire, accumulation of phlegm, blood stasis and Qi-movement disturbance, and give consideration to the factor of the deficiency of righteousness.