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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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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 |