Experiences implementing scalable, containerized, cloud-based NLP for extracting biobank participant phenotypes at scale

OBJECTIVE: To develop scalable natural language processing (NLP) infrastructure for processing the free text in electronic health records (EHRs). MATERIALS AND METHODS: We extend the open-source Apache cTAKES NLP software with several standard technologies for scalability. We remove processing bottl...

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Detalles Bibliográficos
Autores principales: Miller, Timothy A, Avillach, Paul, Mandl, Kenneth D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Case Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382623/
https://www.ncbi.nlm.nih.gov/pubmed/32734158
http://dx.doi.org/10.1093/jamiaopen/ooaa016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382623/
https://www.ncbi.nlm.nih.gov/pubmed/32734158
http://dx.doi.org/10.1093/jamiaopen/ooaa016

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