Enhancing an enterprise data warehouse for research with data extracted using natural language processing

OBJECTIVE: This study aims to develop a generalizable architecture for enhancing an enterprise data warehouse for research (EDW4R) with results from a natural language processing (NLP) model, which allows discrete data derived from clinical notes to be made broadly available for research use without...

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Detalles Bibliográficos
Autores principales: Magoc, Tanja, Everson, Russell, Harle, Christopher A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346024/
https://www.ncbi.nlm.nih.gov/pubmed/37456264
http://dx.doi.org/10.1017/cts.2023.575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346024/
https://www.ncbi.nlm.nih.gov/pubmed/37456264
http://dx.doi.org/10.1017/cts.2023.575

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