A comparative study on predicting influenza outbreaks using different feature spaces: application of influenza-like illness data from Early Warning Alert and Response System in Syria

A comparative study on predicting influenza outbreaks using different feature spaces: application of influenza-like illness data from Early Warning Alert and Response System in Syria

Abstract Objective An accurate forecasting of outbreaks of influenza-like illness (ILI) could support public health officials to suggest public health actions earlier. We investigated the performance of three different feature spaces in different models to forecast the weekly ILI rate in Syria using...

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Bibliographic Details
Main Authors: Ali Darwish, Yasser Rahhal, Assef Jafar
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Research Notes
Subjects:
Influenza-like illness (ILI)
Feature space
Time series analysis
Long short term memory (LSTM)
Online Access:https://doi.org/10.1186/s13104-020-4889-5

Internet

https://doi.org/10.1186/s13104-020-4889-5

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