Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing

Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing

Towards the objectives of the UnitedStates Food and Drug Administration (FDA) generic drug science and research program, it is of vital importance in developing product-specific guidances (PSGs) with recommendations that can facilitate and guide generic product development. To generate a PSG, the as...

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Bibliographic Details
Main Authors: Yiwen Shi, Ping Ren, Yi Zhang, Xiajing Gong, Meng Hu, Hualou Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Research Metrics and Analytics
Subjects:
information extraction
NLP
FDA drug labels
BERT
product specific guidance
Online Access:https://www.frontiersin.org/articles/10.3389/frma.2021.670006/full

Internet

https://www.frontiersin.org/articles/10.3389/frma.2021.670006/full

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