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Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing

Background  Merging disparate and heterogeneous datasets from clinical routine in a standardized and semantically enriched format to enable a multiple use of data also means incorporating unstructured data such as medical free texts. Although the extraction of structured data from texts, known as na...

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Detalles Bibliográficos
Autores principales: Wulff, Antje, Mast, Marcel, Hassler, Marcus, Montag, Sara, Marschollek, Michael, Jack, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725544/
https://www.ncbi.nlm.nih.gov/pubmed/33058101
http://dx.doi.org/10.1055/s-0040-1716403