Training Augmented Intelligent Capabilities for Pharmacovigilance: Applying Deep-learning Approaches to Individual Case Safety Report Processing-Reference-Cited by-同舟云学术

Training Augmented Intelligent Capabilities for Pharmacovigilance: Applying Deep-learning Approaches to Individual Case Safety Report Processing

Published:2018-10-13 Issue:6 Volume:32 Page:391-401
ISSN:1178-2595
Container-title:Pharmaceutical Medicine
language:en
Short-container-title:Pharm Med

Author:

Abatemarco Danielle^ORCID,Perera Sujan,Bao Sheng Hua,Desai Sameen,Assuncao Bruno,Tetarenko Niki,Danysz Karolina,Mockute Ruta,Widdowson Mark,Fornarotto Nicole,Beauchamp Sheryl,Cicirello Salvatore,Mingle Edward

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Pharmacology

Link

http://link.springer.com/article/10.1007/s40290-018-0251-9/fulltext.html

Reference24 articles.

1. Moro A, Invernizzi N. The thalidomide tragedy: the struggle for victims’ rights and improved pharmaceutical regulation. Hist Cienc Saude Manguinhos. 2007;24(3):603–22. https://doi.org/10.1590/s0104-59702017000300004 .

2. Kim JH, Scialli AR. Thalidomide: the tragedy of birth defects and the effective treatment of disease. Toxicol Sci. 2011;122(1):1–6. https://doi.org/10.1093/toxsci/kfr088 .

3. Beninger P, Ibara MA. Pharmacovigilance and biomedical informatics: a model for future development. Clin Ther. 2016;38(12):2514–25. https://doi.org/10.1016/j.clinthera.2016.11.006 .

4. Shang N, Xu H, Rindflesch TC, Cohen T. Identifying plausible adverse drug reactions using knowledge extracted from the literature. J Biomed Inform. 2014;52:293–310. https://doi.org/10.1016/j.jbi.2014.07.011 .

5. World Health Organization. Pharmacovigilance: ensuring the safe use of medicines. Geneva: World Health Organization; 2004.

Cited by 18 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. Artificial intelligence / machine-learning tool for post-market surveillance of in vitro diagnostic assays;New Biotechnology;2024-03

2. The Coming of Age of AI/ML in Drug Discovery, Development, Clinical Testing, and Manufacturing: The FDA Perspectives;Drug Design, Development and Therapy;2023-09

3. Search, identification, and curation of cell and gene therapy product regulations using augmented intelligent systems;Frontiers in Medicine;2023-03-06

4. An industry perspective on the use of machine learning in drug and vaccine safety;Frontiers in Drug Safety and Regulation;2023-02-01

5. The Use of Artificial Intelligence in Pharmacovigilance: A Systematic Review of the Literature;Pharmaceutical Medicine;2022-07-29