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...

Descripción completa

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

Internet

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

Ejemplares similares