Application of Adverse Drug Reaction of Data Mining in Pharmacovigilance
10.13748/j.cnki.issn1007-7693.20224098
- VernacularTitle:药品不良反应数据挖掘技术在药物警戒中的应用
- Author:
Ruishan ZHOU
1
;
Peiwen LU
1
;
Junheng CHEN
1
;
Yiyang SHI
1
;
Mingxiu HE
1
;
Fangfang HAN
2
;
Yongming CAI
3
Author Information
1. Guangdong Pharmaceutical University, Guangzhou 510006, China
2. Guangdong Pharmaceutical University, Guangzhou 510006, China；NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Guangzhou 510006, China
3. Guangdong Pharmaceutical University, Guangzhou 510006, China；NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Guangzhou 510006, China；Guangdong Provincial Traditional Chinese Medicine Precision Medicine Big Data Engineering Technology Research Center, Guangzhou 510006, China
- Publication Type:Journal Article
- Keywords:
data mining； adverse event report；pharmacovigilance； adverse drug reaction ；automatic detection
- From:
Chinese Journal of Modern Applied Pharmacy
2024;41(6):864-870
- CountryChina
- Language:Chinese
-
Abstract:
With the development of information technology, the massive growth of pharmaceutical electronic data and the significant increase in the reports of drug adverse event reports have brought great challenges to pharmacovigilance research. Data mining techniques can automatically extract the risk signals of adverse drug reaction from real-world data. Therefore, efficient data mining of massive adverse event reporting is a necessary measure to realize the automatic detection of adverse drug reactions. By introducing the current major large-scale adverse drug event reporting databases and related data mining methods, this study reviews the application and limitations of adverse drug reaction data mining technology in pharmacovigilance, which provides reference for pharmacovigilance-related institutions and researchers.
