Guiding Principles for Multilingual Generation of Artificial Clinical Reports
These brief Guidelines provide recommendations with examples of how to write artificial (fictional) clinical cases and corpora so that they closely mimic real medical texts found in electronic health records.
Authors
- Martin Krallinger (ORCID: https://orcid.org/0000-0002-2646-8782)
- Eulàlia Farré-Maduell (ORCID: https://orcid.org/0000-0002-9116-1592)
- Salvador Lima-López
- Machteld Boonstra
- Andrea Guala
- Eduard Rodenas Alesina
Institutions
- Barcelona Supercomputing Center (ES)
- Vall d'Hebron Institut de Recerca (ES)
- Amsterdam University Medical Centers (NL)
- Visual Health Information (US)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-22
- DOI
- https://doi.org/10.5281/zenodo.20339233
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00