Research on signal detection methods based on data mining in adverse drug reaction of shuanghuanglian injection.
- Author:
Jionghua CHEN
1
;
Yongyue WEI
;
Jun SUN
;
Yongyan WANG
;
Yanming XIE
Author Information
- Publication Type:Journal Article
- MeSH: Adverse Drug Reaction Reporting Systems; Data Mining; methods; Drugs, Chinese Herbal; adverse effects; Humans
- From: China Journal of Chinese Materia Medica 2010;35(3):308-312
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVEThis paper is aimed to explore the adverse reaction condition of Shuanghuangli an injection with three common used signal detecting methods based on SRS database of Jiangsu province, and to evaluate the performance of three methods.
METHODThree methods would be used to detect the signals based on the SRS database of Jiangsu province. Consistency of the results of these three methods with that proved in descriptions was evaluated by Kappa test. The trend graph of the confidence intervals of several time points was used to demonstrate the trend of the signal.
RESULTThe PRR method was consistent with ROR method in high degree in any situation. The results of BCPNN method was close to PRR and ROR method only when the related report count was larger. PRR and ROR methods had higher false positive rate than BCPNN method.
CONCLUSIONPRR or ROR method is proposed for signal detecting when the report count is large. BCPNN method is proposed for trend demonstration of signal with graph.
