A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster

The burden of infectious diseases is crucial for both epidemiological surveillance and prompt public health response. A variety of data, including textual sources, can be fruitfully exploited. Dealing with unstructured data necessitates the use of methods for automatic data-driven variable construct...

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Detalles Bibliográficos
Autores principales: Lanera, Corrado, Baldi, Ileana, Francavilla, Andrea, Barbieri, Elisa, Tramontan, Lara, Scamarcia, Antonio, Cantarutti, Luigi, Giaquinto, Carlo, Gregori, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141951/
https://www.ncbi.nlm.nih.gov/pubmed/35627495
http://dx.doi.org/10.3390/ijerph19105959

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141951/
https://www.ncbi.nlm.nih.gov/pubmed/35627495
http://dx.doi.org/10.3390/ijerph19105959

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