[Research on signal detection methods based on data mining in adverse drug reaction of shuanghuanglian injection].
OBJECTIVE
This 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.


METHODS
Three 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.


RESULTS
The 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.


CONCLUSIONS
PRR 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.
Chen
Jionghua
J
China Academy of Chinese Medical Science, Beijing 100700, China.
Wei
Yongyue
Y
Sun
Jun
J
Wang
Yongyan
Y
Xie
Yanming
Y
D016907:Adverse Drug Reaction Reporting Systems; D057225:Data Mining / Q000379:methods*; D004365:Drugs, Chinese Herbal / Q000009:adverse effects*; D006801:Humans
D004365:Drugs, Chinese Herbal; C516400:shuang-huang-lian