System and Empirical Study on Adverse Drug Reaction Warning Based on Association Rule
Bianling Feng · Ke-ji guanli yanjiu · 2012
To deal with the current insufficiency on adverse drug reaction(ADR)warning in our country,the paper firstly introduced the multidimensional association rule mining methods based on data cube into the field of warning of ADR,then proposed the warning system framework of ADR based on association rule,and finally carried on an empirical analysis combining the data from ADR spontaneous reporting systems.Based on the support and confidence,the paper realized the warning function from two dimensions of patients and drugs,which provided a new method for the problem of ADR warning.This was significantly meaningful to provide supports for prescription on the illnesses treatments.