人工智能和机器学习在药物警戒中的应用:目前有哪些有效措施,还需要哪些措施?

IF 3.4 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Therapeutic Advances in Drug Safety Pub Date : 2024-10-31 eCollection Date: 2024-01-01 DOI:10.1177/20420986241293303
Michael Glaser, Rory Littlebury
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摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Governance of artificial intelligence and machine learning in pharmacovigilance: what works today and what more is needed?
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来源期刊
Therapeutic Advances in Drug Safety
Therapeutic Advances in Drug Safety Medicine-Pharmacology (medical)
CiteScore
6.70
自引率
4.50%
发文量
31
审稿时长
9 weeks
期刊介绍: Therapeutic Advances in Drug Safety delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies pertaining to the safe use of drugs in patients. The journal has a strong clinical and pharmacological focus and is aimed at clinicians and researchers in drug safety, providing a forum in print and online for publishing the highest quality articles in this area. The editors welcome articles of current interest on research across all areas of drug safety, including therapeutic drug monitoring, pharmacoepidemiology, adverse drug reactions, drug interactions, pharmacokinetics, pharmacovigilance, medication/prescribing errors, risk management, ethics and regulation.
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