Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data

摘要：

　　US Food and Drug Administration(FDA)Adverse Event(AE)Reporting System(FAERS)is a major source of data for monitoring drug safety.However,there is not general procedure to systematically compare drugs group.We present a statistical method,which can effectively identify significant differences in AE rates among drugs and estimates the differences in age and gender distributions.

关键词： Adverse Drug Reaction Reporting Systems Data Mining

作者: Jing Huang Xinyuan Zhang Jingcheng Du Rui Duan Liu Yang Jason H.Moore Yong Chen Cui Tao

作者单位: University of Pennsylvania,Philadelphia,PA,USA University of Texas Health Science Center at Houston,Houston,TX,USA Mayo Clinic,Jacksonville,FL,USA

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 1268-1268

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）