Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets

Author:

Li YimingORCID,Tao Wei,Li Zehan,Sun Zenan,Li Fang,Fenton Susan,Xu Hua,Tao CuiORCID

Funder

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Publisher

Elsevier BV

Reference43 articles.

1. Institute of Medicine. To Err Is Human: Building a Safer Health System. Washington, DC: The National Academies Press; 2000. 10.17226/9728.

2. Graph neural networks: A review of methods and applications;Zhou;AI Open,2020

3. 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records;Henry;J. Am. Med. Inform. Assoc.,2020

4. Extracting Adverse Drug Events from Clinical Notes;Mahendran;AMIA Jt Summits Transl Sci Proc AMIA Jt Summits Transl Sci,2021

5. Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning;Li;JMIR Med. Inform.,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3