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	A study of deep learning approaches for medication and adverse drug event extraction from clinical text
	Wei Qiang; Ji Zongcheng; Li Zhiheng; Du Jingcheng; Wang Jingqi; Xu Jun; Xiang Yang; Tiryaki Firat; Wu Stephen; Zhang Yaoyun
刊名	Journal of the American Medical Informatics Association : JAMIA
	2019
关键词	adverse drug events,deep learning,electronic health records,named entity recognition,relation extraction
ISSN号	1527-974X
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3216609
专题	大连理工大学
作者单位	1.School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA. 2.School of Computer Science and Technology, Dalian University of Technology, Dalian, China.
推荐引用方式 GB/T 7714	Wei Qiang,Ji Zongcheng,Li Zhiheng,et al. A study of deep learning approaches for medication and adverse drug event extraction from clinical text[J]. Journal of the American Medical Informatics Association : JAMIA,2019.
APA	Wei Qiang.,Ji Zongcheng.,Li Zhiheng.,Du Jingcheng.,Wang Jingqi.,...&Xu Hua.(2019).A study of deep learning approaches for medication and adverse drug event extraction from clinical text.Journal of the American Medical Informatics Association : JAMIA.
MLA	Wei Qiang,et al."A study of deep learning approaches for medication and adverse drug event extraction from clinical text".Journal of the American Medical Informatics Association : JAMIA (2019).

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