Exploration on Medication Regularity of Epidemic Encephalitis B with Text Mining Technique
10.3969/j.issn.1005-5304.2013.07.009
- VernacularTitle:基于文本挖掘的流行性乙型脑炎用药规律研究
- Author:
Jingping TIAN
;
Aiping LV
;
Guang ZHENG
;
Jing ZHAO
;
Feng CAI
;
Hongtao GUO
;
Junping ZHAN
;
Chi ZHANG
;
Miao JIANG
;
Cheng LV
- Publication Type:Journal Article
- Keywords:
text mining technique;
data slicing algorithm;
epidemic encephalitis B;
medication regularity
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2013;(7):21-23,48
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the clinical regularity of drugs on epidemic encephalitis B with text mining technique. Methods The data set on epidemic encephalitis B was downloaded from CBM database. The regularities of Chinese herbal medicine, Chinese patent medicine (CPM), western medicine and the combination of CPM and western medicine on epidemic encephalitis B were mined by data slicing algorithm. The results are showed visually with Cytoscape 2.8 software. Results The main function of herbal pieces was focused on clearing heat and removing toxicity. The herbal pieces such as Rehmanniae Radix Isatidis Raxis, Isatids Folium, Paeoniae Radis rubra and Scutellariae Radix were most often used. Angong Niuhuang Wan and Qingkailing Injection were usually used as CPM. For western medicine, antiviral drugs such as interferon and ribavirin were often used, and they were often used together with brain cells nutrition medicine, hormone, immunopotentiator and so on, and they were also frequently used together with CPM such as Angong Niuhuang Wan and Qingkailing Injection. Conclusion Text mining approach provides an important method in exploring the medication regularity for diseas, and provide refenrence for clinical use.
