Machine Learning in Causal Inference: Application in Pharmacovigilance
Author:
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Pharmacology,Toxicology
Link
https://link.springer.com/content/pdf/10.1007/s40264-022-01155-6.pdf
Reference179 articles.
1. World Health Organization. The importance of pharmacovigilance. Geneva: World Health Organization; 2002.
2. Bailey C, Peddie D, Wickham ME, Badke K, Small SS, Doyle-Waters MM, et al. Adverse drug event reporting systems: a systematic review. Br J Clin Pharmacol. 2016;82(1):17–29.
3. Lee CY, Chen Y. Machine learning on adverse drug reactions for pharmacovigilance. Drug Discov Today. 2019;24(7):1332–43.
4. Pirmohamed M, James S, Meakin S, Green C, Scott AK, Walley TJ, et al. Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients. BMJ. 2004;329(7456):15–9.
5. Rothschild JM, Churchill W, Erickson A, Munz K, Schuur JD, Salzberg CA, et al. Medication errors recovered by emergency department pharmacists. Ann Emerg Med. 2010;55(6):513–21.
Cited by 9 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. Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine;Science of Traditional Chinese Medicine;2024-03-05
2. Causality Assessment in Pharmacovigilance;Principles and Practice of Pharmacovigilance and Drug Safety;2024
3. Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products;Safety Science;2023-12
4. DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications;Briefings in Bioinformatics;2023-06-21
5. Artificial intelligence and pharmacovigilance: What is happening, what could happen and what should happen?;Health Policy and Technology;2023-06
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