Artificial Intelligence and Machine Learning for Safe Medicines

被引：12

作者：

Bate, Andrew ^{[1
,2
,3
]}

Luo, Yuan ^{[4
]}

机构：

[1] GSK, Brentford, England

[2] LSHTM, London, England

[3] NYU, 550 1St Ave, New York, NY 10012 USA

[4] Northwestern Univ, Evanston, IL USA

来源：

DRUG SAFETY | 2022年 / 45卷 / 05期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1007/s40264-022-01177-0

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

[media not available: see fulltext]

引用

页码：403 / 405

页数：3

共 28 条

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[2]

[Anonymous], 2016, In Two Moves, AlphaGo and Lee Sedol Redefined the Future'

[3]

Aronson J K., Drug Saf

[4]

Ball R., DRUG SAFETY

[5]

Bate A, 2008, PHARMACOEPIDEMIOLOGY, V3rd, P23972

[6] Safety of medicines and vaccines - building next generation capability [J].

Bate, Andrew ;

Stegmann, Jens-Ulrich .

TRENDS IN PHARMACOLOGICAL SCIENCES, 2021, 42 (12) :1051-1063

[7] Artificial Intelligence, Real-World Automation and the Safety of Medicines [J].

Bate, Andrew ;

Hobbiger, Steve F. .

DRUG SAFETY, 2021, 44 (02) :125-132

[8]

Bates D, DRUG SAFETY

[9] Challenges to the Reproducibility of Machine Learning Models in Health Care [J].

Beam, Andrew L. ;

Manrai, Arjun K. ;

Ghassemi, Marzyeh .

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (04) :305-306

[10]

Cherkas Y, DRUG SAFETY

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