摘要
目的利用文本挖掘技术探索癫痫中西药用药规律及中医证候特征,为临床中西药用药提供参考。方法利用数据挖掘技术在中国生物医学文献数据库中收集治疗癫痫文献数据,采用基于敏感关键词频数统计的数据分层算法,结合文献回溯、人工阅读降噪,挖掘癫痫的中西药用药规律及中医证候特征。通过一维频次及二维的网络图进行显示。结果癫痫常用西药为苯巴比妥、苯妥英钠、丙戊酸钠、卡马西平、地西泮,中成药为安宫牛黄丸、清开灵注射液、乌梅丸、通心络胶囊、复方丹参滴丸、血府逐瘀胶囊等。联用时的常用中成药为安宫牛黄丸、清开灵注射液、复方丹参片,常用的西药为苯巴比妥、卡马西平、地西泮、丙戊酸钠。常见证候为肝肾阴虚、肾阴虚、痰迷心窍、阴虚、痰火扰心。结论文本挖掘技术能够比较客观地总结癫痫病、证、药的规律,为临床诊疗提供参考。
Objective To explore the traditional Chinese and western medication principle of treating epilepsy based on text mining, and provide a reference for clinical use. Methods Based on the literature data of treatment of epilepsy collected in CBM database, we explored the medication principle of both traditional Chinese medicine and western medicine for treating epilepsy by frequency statistical data based on sensitive keywords hierarchical algorithm, retro-read and manually noise reduction. These laws displayed by the frequency of one-dimensional and two-dimensional network diagram. Results Commonly used drugs in western medicine treatment for epilepsy are phenobarbital, phenytoin, valproate, carbamazepine and diazepam. Traditional Chinese medicine commonly used are Angongniuhuang Pill, Qingkailing Injection, Wumei Pill, Tongxinluo Capsule, Compound Danshen Dripping Pill, Xuefuzhuyu Capsule, etc. When traditional Chinese medicine and western medicine are combined used, the most commonly used traditional Chinese medicine are Angongniuhuang Pill, Qingkalh＇ng Injection and Compound Danshen Tablet, western medicine are phenobarbital, valproate, carbamazepine and diazepam. Common syndromes are yin deficiency of liver and kidney, deficiency of kidney yin, heart tangled by sputum, deficiency ofyin, heart disturbance by sputum and fire. Conclusion Text mining technology can be used for summary of medication principle of treating epilepsy and of epilepsy syndrome, thus provide useful exploration and reference for clinical diagnosis and treatment.
出处
《中国中医药信息杂志》
CAS
CSCD
2013年第9期22-25,共4页
Chinese Journal of Information on Traditional Chinese Medicine
基金
国家科技部创新方法学专项(2008IM020900)
国家自然科学基金杰出青年基金(30825047)
国家自然科学基金青年基金(30902003)
关键词
文本挖掘
数据分层算法
癫痫
证候
药物治疗
text mining
data stratification algorithm
epilepsy
syndrome
drug treatment
