Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in Iran

Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in Iran

Abstract Objective Forecasting the time of future outbreaks would minimize the impact of diseases by taking preventive steps including public health messaging and raising awareness of clinicians for timely treatment and diagnosis. The present study investigated the accuracy of support vector machine...

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Bibliographic Details
Main Authors: Leili Tapak, Omid Hamidi, Mohsen Fathian, Manoochehr Karami
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Research Notes
Subjects:
Influenza
Outbreak
Public health surveillance
Support vector machine
Neural network
Random Forest
Online Access:http://link.springer.com/article/10.1186/s13104-019-4393-y

Internet

http://link.springer.com/article/10.1186/s13104-019-4393-y

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