Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language models

OBJECTIVE: A vast amount of medical data is still stored in unstructured text documents. We present an automated method of information extraction from German unstructured clinical routine data from the cardiology domain enabling their usage in state-of-the-art data-driven deep learning projects. MET...

Descripción completa

Detalles Bibliográficos
Autores principales: Richter-Pechanski, Phillip, Geis, Nicolas A, Kiriakou, Christina, Schwab, Dominic M, Dieterich, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637713/
https://www.ncbi.nlm.nih.gov/pubmed/34868618
http://dx.doi.org/10.1177/20552076211057662

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637713/
https://www.ncbi.nlm.nih.gov/pubmed/34868618
http://dx.doi.org/10.1177/20552076211057662

Ejemplares similares