Application of Information Retrieval Approaches to Case Classification in the Vaccine Adverse Event Reporting System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Pharmacology,Toxicology
Link
http://link.springer.com/content/pdf/10.1007/s40264-013-0064-4.pdf
Reference21 articles.
1. Varricchio F, Iskander J, Destefano F, Ball R, Pless R, Braun MM, et al. Understanding vaccine safety information from the vaccine adverse event reporting system. Pediatr Infect Dis J. 2004;23(4):287–94.
2. Manning CD, Raghavan P, Schutze H. Introduction to information retrieval. 1st ed. Cambridge: Cambridge University Press; 2008.
3. Manning CD, Schutze H. Foundations of statistical natural language processing. 1st ed. Cambridge: MIT Press; 1999.
4. Brown EG, Wood L, Wood S. The medical dictionary for regulatory activities (MedDRA). Drug Saf. 1999;20(2):109–17.
5. Bonhoeffer J, Kohl K, Chen R, Duclos P, Heijbel H, Heininger U, et al. The Brighton Collaboration: addressing the need for standardized case definitions of adverse events following immunization (AEFI). Vaccine. 2002;21(3–4):298–302.
Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration;Journal of Medical Internet Research;2024-06-06
2. Using machine learning to improve anaphylaxis case identification in medical claims data;JAMIA Open;2024-04-08
3. Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration (Preprint);2023-06-25
4. Trends and opportunities in computable clinical phenotyping: A scoping review;Journal of Biomedical Informatics;2023-04
5. Exploring opportunities for AI supported medication error categorization: A brief report in human machine collaboration;Frontiers in Drug Safety and Regulation;2022-11-10
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