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Editorial
. 2023 Apr 21:3:1188715.
doi: 10.3389/fdsfr.2023.1188715. eCollection 2023.

Editorial: Computational methods and systems to support decision making in pharmacovigilance

Taxiarchis Botsis  1 , Robert Ball  2 , G Niklas Norén  3
Affiliations
Editorial

Editorial: Computational methods and systems to support decision making in pharmacovigilance

Taxiarchis Botsis et al. Front Drug Saf Regul. .
No abstract available

Keywords: artificial intelligence; decision support; pharmacovigilance; quality assurance; real-world data.

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Conflict of interest statement

RB and TB are authors on US Patent 9,075,796, “Text mining for large medical text datasets and corresponding medical text classification using informative feature selection.” At present, this patent is not licensed and does not generate royalties. GNN declares no conflict of interest.

Comment on

  • Editorial on the Research Topic Computational methods and systems to support decision making in pharmacovigilance

References

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    1. Kompa B., Hakim J. B., Palepu A., Kompa K. G., Smith M., Bain P. A., et al. (2022). Artificial intelligence based on machine learning in pharmacovigilance: A scoping review. Drug Saf. 45 (5), 477–491. 10.1007/s40264-022-01176-1 - DOI - PMC - PubMed

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