数据挖掘技术在药品不良反应监测中的应用进展

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Abstract Data mining technology has been widely used in the monitoring of adverse drug reactions in the era of big data.The monitoring of adverse drug reactions has a long history.Combined with data mining technology to carry out more accurate and effective monitoring has become a hot issue today.There are many methods of adverse drug reaction monitoring,including frequency method,Bayesian method,association rule,cluster analysis,decision tree,principal component analysis,and active monitoring methods developed in recent years.In this paper,the application status and progress of the above methods in adverse drug reaction monitoring will be summarized in order to provide meaningful guidance for adverse drug reaction monitoring.

Key words： Data mining Adverse drug reaction monitoring Spontaneous reporting system Active monitoring

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	Articles by authors
	GAO Song
	GAO Yue-juan
	ZHU Ren-ying
	WANG Li-li
	XIU Yan-li
	BI Lin-yu

Cite this article:

GAO Song,GAO Yue-juan,ZHU Ren-ying, et al. Application progress of data mining technology in adverse drug reaction monitoring[J]. 中国当代医药, 2021, 28(26): 31-35.

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http://dangdaiyiyao.com/EN/ OR http://dangdaiyiyao.com/EN/Y2021/V28/I26/31

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