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Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System

BACKGROUND: Natural language processing (NLP) of unstructured text from electronic medical records (EMR) can improve the characterization of COVID-19 signs and symptoms, but large-scale studies demonstrating the real-world application and validation of NLP for this purpose are limited. OBJECTIVE: Th...

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Detalles Bibliográficos
Autores principales:	Malden, Deborah E, Tartof, Sara Y, Ackerson, Bradley K, Hong, Vennis, Skarbinski, Jacek, Yau, Vincent, Qian, Lei, Fischer, Heidi, Shaw, Sally F, Caparosa, Susan, Xie, Fagen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2022
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822566/ https://www.ncbi.nlm.nih.gov/pubmed/36446133 http://dx.doi.org/10.2196/41529

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