Robust two-stage influenza prediction model considering regular and irregular trends

Influenza causes numerous deaths worldwide every year. Predicting the number of influenza patients is an important task for medical institutions. Two types of data regarding influenza-like illnesses (ILIs) are often used for flu prediction: (1) historical data and (2) user generated content (UGC) da...

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Detalles Bibliográficos
Autores principales: Murayama, Taichi, Shimizu, Nobuyuki, Fujita, Sumio, Wakamiya, Shoko, Aramaki, Eiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241782/
https://www.ncbi.nlm.nih.gov/pubmed/32437380
http://dx.doi.org/10.1371/journal.pone.0233126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241782/
https://www.ncbi.nlm.nih.gov/pubmed/32437380
http://dx.doi.org/10.1371/journal.pone.0233126

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