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

Shi Y, Ren P, Zhang Y, Gong X, Hu M, Liang H

DOI: 10.3389/frma.2021.670006
Published: 2021
Container: Frontiers in research metrics and analytics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frma.2021.670006,
  title = {Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing.},
  author = {Shi Y and Ren P and Zhang Y and Gong X and Hu M and Liang H},
  year = {2021},
  journal = {Frontiers in research metrics and analytics},
  doi = {10.3389/frma.2021.670006},
  url = {https://doi.org/10.3389/frma.2021.670006}
}

RIS

TY  - JOUR
TI  - Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing.
AU  - Shi Y
AU  - Ren P
AU  - Zhang Y
AU  - Gong X
AU  - Hu M
AU  - Liang H
PY  - 2021
JO  - Frontiers in research metrics and analytics
DO  - 10.3389/frma.2021.670006
UR  - https://doi.org/10.3389/frma.2021.670006
ER  -

APA

Y, S., P, R., Y, Z., X, G., M, H., & H, L. (2021). Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing.. Frontiers in research metrics and analytics. https://doi.org/10.3389/frma.2021.670006

Source records

pubmed · retrieved 2026-11-11T01:04:09.177Z