Exploration on Medication Principle of Treating Epilepsy Based on Text Mining
10.3969/j.issn.1005-5304.2013.09.008
- VernacularTitle:基于文本挖掘技术探索癫痫治疗用药规律
- Author:
Xuewen LIU
;
Feng CAI
;
Guang ZHENG
;
Miao JIANG
;
Aiping LV
- Publication Type:Journal Article
- Keywords:
text mining;
data stratification algorithm;
epilepsy;
syndrome;
drug treatment
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2013;(9):22-25
- CountryChina
- Language:Chinese
-
Abstract:
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, Qingkailing 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 of yin, 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.
