Employing bibliometrics and natural language processing (NLP) to analyse real-world applications of adverse drug reaction.

Dsouza VS, Leyens L, Brand A

Open source

DOI
10.1016/j.rcsop.2025.100592
Published
2025 Jun
Container
Exploratory research in clinical and social pharmacy
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.rcsop.2025.100592,
  title = {Employing bibliometrics and natural language processing (NLP) to analyse real-world applications of adverse drug reaction.},
  author = {Dsouza VS and Leyens L and Brand A},
  year = {2025},
  journal = {Exploratory research in clinical and social pharmacy},
  doi = {10.1016/j.rcsop.2025.100592},
  url = {https://doi.org/10.1016/j.rcsop.2025.100592}
}

RIS

TY  - JOUR
TI  - Employing bibliometrics and natural language processing (NLP) to analyse real-world applications of adverse drug reaction.
AU  - Dsouza VS
AU  - Leyens L
AU  - Brand A
PY  - 2025
JO  - Exploratory research in clinical and social pharmacy
DO  - 10.1016/j.rcsop.2025.100592
UR  - https://doi.org/10.1016/j.rcsop.2025.100592
ER  - 

APA

VS, D., L, L., & A, B. (2025). Employing bibliometrics and natural language processing (NLP) to analyse real-world applications of adverse drug reaction.. Exploratory research in clinical and social pharmacy. https://doi.org/10.1016/j.rcsop.2025.100592

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