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Forecasting influenza-like illness dynamics for military populations using neural networks and social media

This work is the first to take advantage of recurrent neural networks to predict influenza-like illness (ILI) dynamics from various linguistic signals extracted from social media data. Unlike other approaches that rely on timeseries analysis of historical ILI data and the state-of-the-art machine le...

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Detalles Bibliográficos
Autores principales: Volkova, Svitlana, Ayton, Ellyn, Porterfield, Katherine, Corley, Courtney D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5731746/
https://www.ncbi.nlm.nih.gov/pubmed/29244814
http://dx.doi.org/10.1371/journal.pone.0188941