Efficient extraction of medication information from clinical notes: an evaluation in 2 languages
The proposed architecture can be used to extract medication information from clinical text with high performance and low computational cost and consequently suits with usually limited hospital IT resources.
Authors
- Erik Sauleau (ORCID: https://orcid.org/0000-0003-1178-1060)
- Thibaut Fabacher
- Adrien Coulet (ORCID: https://orcid.org/0000-0002-1466-062X)
- Bineta Faye
- Aurélie Névéol
- Emmanuelle Arcay
- Maxime Alter
- Archia Chahard
- Nathan Miraillet
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Université Paris Cité (FR)
- Université Paris-Saclay (FR)
- Sorbonne Paris Cité (FR)
- Hôpital Civil, Strasbourg (FR)
- Université de Strasbourg (FR)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1093/jamia/ocaf113
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00