A fast, resource efficient, and reliable rule-based system for COVID-19 symptom identification

OBJECTIVE: With COVID-19, there was a need for a rapidly scalable annotation system that facilitated real-time integration with clinical decision support systems (CDS). Current annotation systems suffer from a high-resource utilization and poor scalability limiting real-world integration with CDS. A...

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Detalles Bibliográficos
Autores principales: Sahoo, Himanshu S, Silverman, Greg M, Ingraham, Nicholas E, Lupei, Monica I, Puskarich, Michael A, Finzel, Raymond L, Sartori, John, Zhang, Rui, Knoll, Benjamin C, Liu, Sijia, Liu, Hongfang, Melton, Genevieve B, Tignanelli, Christopher J, Pakhomov, Serguei V S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374371/
https://www.ncbi.nlm.nih.gov/pubmed/34423261
http://dx.doi.org/10.1093/jamiaopen/ooab070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374371/
https://www.ncbi.nlm.nih.gov/pubmed/34423261
http://dx.doi.org/10.1093/jamiaopen/ooab070

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