COVID-19 outbreaks surveillance through text mining applied to electronic health records

COVID-19 outbreaks surveillance through text mining applied to electronic health records

Abstract Background The COVID-19 pandemic has caused significant disruptions to everyday life and has had social, political, and financial consequences that will persist for years. Several initiatives with intensive use of technology were quickly developed in this scenario. However, technologies tha...

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Bibliographic Details
Main Authors: Hermano Alexandre Lima Rocha, Erik Zarko Macêdo Solha, Vasco Furtado, Francion Linhares Justino, Lucas Arêa Leão Barreto, Ronaldo Guedes da Silva, Ítalo Martins de Oliveira, David Westfall Bates, Luciano Pamplona de Góes Cavalcanti, Antônio Silva Lima Neto, Erneson Alves de Oliveira
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Infectious Diseases
Subjects:
COVID-19
Disease outbreaks
Public Health Surveillance
Data Science
Epidemiology
Online Access:https://doi.org/10.1186/s12879-024-09250-y

Internet

https://doi.org/10.1186/s12879-024-09250-y

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