Influenza Activity Surveillance Based on Multiple Regression Model and Artificial Neural Network

Influenza Activity Surveillance Based on Multiple Regression Model and Artificial Neural Network

In this paper, a series of models were established, and based on the Google Flu Trends (GFT) data and Centers for Disease Control (CDC) data. The models include the GFT regression model (model 1), the weighted GFT regression model (model 2), the GFT + CDC regression model (model 3), the CDC regressi...

Full description

Bibliographic Details
Main Authors: Hongxin Xue, Yanping Bai, Hongping Hu, Haijian Liang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
CDC
GFT
GA-BP neural network
influenza prediction
Online Access:https://ieeexplore.ieee.org/document/8119489/

Internet

https://ieeexplore.ieee.org/document/8119489/

Similar Items