Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies

OBJECTIVE: Natural language processing (NLP) engines such as the clinical Text Analysis and Knowledge Extraction System are a solution for processing notes for research, but optimizing their performance for a clinical data warehouse remains a challenge. We aim to develop a high throughput NLP archit...

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Detalhes bibliográficos
Publicado no:J Am Med Inform Assoc
Main Authors: Afshar, Majid, Dligach, Dmitriy, Sharma, Brihat, Cai, Xiaoyuan, Boyda, Jason, Birch, Steven, Valdez, Daniel, Zelisko, Suzan, Joyce, Cara, Modave, François, Price, Ron
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Brief Communications
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7647210/
https://ncbi.nlm.nih.gov/pubmed/31145455
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz068
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