With the continuous increasement of adverse Chinese drug reaction reporting, especially Chinese traditional medicine injection, it becomes the key part of the post-marketing evaluation. The issue based on this research background becomes the hot research direction. But the truth is that the history of Chinese medicine and western medicine is different and the theory is not a system either, here different means between pharmacovigilance of Chinese medicine and western medicine, there are still many gaps. This becomes a barrier for Chinese medicine entering the international market. This article summarizes try to order the SFDA's adverse reaction reporting database of traditional Chinese medicine, and using three kinds of data mining methods used by WHO, the U. S. Food and Drug Administration, to establish suitable system for Chinese market after the evaluation of pharmacovigilance.
Adolescent ; Adult ; Adverse Drug Reaction Reporting Systems ; Aged ; Child ; Child, Preschool ; Data Mining ; Female ; Humans ; Male ; Medicine, Chinese Traditional ; adverse effects ; Middle Aged ; Pharmacovigilance

With the continuous improvement of international "pharmacovigilance" technology and methods,it becomes the key part of the post-marketing evaluation. This issue is based on this research background, and also means to find out the Chinese medicine safety monitor which consistents with the reality. A common problem is that those who choose a career in pharmacovigilance know how the complex data presented to us are a source of both fascination and frustration. In the 70's, for the first time data mining technology in the international pharmacovigilance turn up, we try to establish new signal detection method to make contributes to post-marketing evaluation of Chinese medicine and establishment of registration. Building the national adverse reaction reporting database is widely used in western country. Nature of the problem is that pharmacovigilance issues can come through a lot of assumptions into the statistical problems, different assumptions are for different statistical tests. Through the traditional imbalance between the proportion of fourfold table for other assumptions, few countries use in practice, this does not involve evidence, but this issue provides the introduce of the principle. Methods include the ratio of the report of the Netherlands (ROR), the proportion of reports than the UK ratio (PRR),WHO's information points (IC), the U.S. Food and Drug Administration empirical Bayes (EBS), etc. Because there is no international gold standard of the signal detection method, at first we use the simulation comparing these four methods of data mining, From the point of specificity, the sample size demand, this issue views the advantages and disadvantages of four methods and application conditions,and from a technical point of view and try to propose a new signal detection method, for example, Hierarchical Bayesian.
Data Mining ; Humans ; Medicine, Chinese Traditional ; adverse effects ; Pharmacovigilance ; Product Surveillance, Postmarketing