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Development and evaluation of an interoperable natural language processing system for identifying pneumonia across clinical settings of care and institutions

OBJECTIVE: To evaluate the feasibility, accuracy, and interoperability of a natural language processing (NLP) system that extracts diagnostic assertions of pneumonia in different clinical notes and institutions. MATERIALS AND METHODS: A rule-based NLP system was designed to identify assertions of pn...

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Detalles Bibliográficos
Autores principales:	Chapman, Alec B, Peterson, Kelly S, Rutter, Elizabeth, Nevers, Mckenna, Zhang, Mingyuan, Ying, Jian, Jones, Makoto, Classen, David, Jones, Barbara
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801965/ https://www.ncbi.nlm.nih.gov/pubmed/36601365 http://dx.doi.org/10.1093/jamiaopen/ooac114

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