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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822566/
https://www.ncbi.nlm.nih.gov/pubmed/36446133
http://dx.doi.org/10.2196/41529

Ejemplares similares