| 引用本文: | 周瑞珊,卢佩雯,陈君恒,石艺杨,何明秀,韩芳芳,蔡永铭.药品不良反应数据挖掘技术在药物警戒中的应用[J].中国现代应用药学,2024,41(6):864-870. |
| ZHOU Ruishan,LU Peiwen,CHEN Junheng,SHI Yiyang,HE Mingxiu,HAN Fangfang,CAI Yongming.Application of Adverse Drug Reaction of Data Mining in Pharmacovigilance[J].Chin J Mod Appl Pharm(中国现代应用药学),2024,41(6):864-870. |
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| 药品不良反应数据挖掘技术在药物警戒中的应用 |
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周瑞珊1, 卢佩雯1, 陈君恒1, 石艺杨1, 何明秀1, 韩芳芳1,2, 蔡永铭1,2,3
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1.广东药科大学，广州 510006;2.国家药监局药物警戒技术研究与评价重点实验室，广州 510006;3.广东省中医药精准医学大数据工程技术研究中心，广州 510006
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| 摘要: |
| 随着信息技术的发展，医药电子数据海量增长，药品不良事件报告大幅增加，给药物警戒研究带来了巨大的挑战。而数据挖掘技术可以自动从真实世界数据中撷取药品不良反应风险信号。因此，对海量不良事件报告数据进行高效数据挖掘是实现药品不良反应自动检测的必要措施。本研究通过介绍当前主要的大型药品不良事件报告数据库和相关数据挖掘方法，对药品不良反应数据挖掘技术在药物警戒中的应用及其局限性进行综述，为药物警戒相关机构和科研人员提供参考。 |
| 关键词: 数据挖掘 不良事件报告 药物警戒 药品不良反应 自动检测 |
| DOI：10.13748/j.cnki.issn1007-7693.20224098 |
| 分类号:R969.3 |
| 基金项目:广东省药品监督管理局科技创新项目(2022ZDZ06) |
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| Application of Adverse Drug Reaction of Data Mining in Pharmacovigilance |
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ZHOU Ruishan1, LU Peiwen1, CHEN Junheng1, SHI Yiyang1, HE Mingxiu1, HAN Fangfang1,2, CAI Yongming1,2,3
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1.Guangdong Pharmaceutical University, Guangzhou 510006, China;2.NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Guangzhou 510006, China;3.Guangdong Provincial Traditional Chinese Medicine Precision Medicine Big Data Engineering Technology Research Center, Guangzhou 510006, China
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| 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. |
| Key words: data mining adverse event report pharmacovigilance adverse drug reaction automatic detection |
