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《Science and Technology Management Research》 2012-09
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System and Empirical Study on Adverse Drug Reaction Warning Based on Association Rule

FENG Xiuzhen1,HE Xiaohong1,FENG Bianling2(1.School of Ecenomics and Mauage meuf Beijing University of Technology,Beijing 100124 Chian; 2.Department of Pharmacy,College of Medicine,Xi'an Jiaotong University,Xi'an 710061,China)  
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.
【Fund】: 西安交通大学医学创新基金(0203402)
【CateGory Index】: TP311.13
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【Citations】
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【Co-citations】
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