Influenza surveillance with Baidu index and attention-based long short-term memory model.

ABSTRACT:

Background

The prediction and prevention of influenza is a public health issue of great concern, and the study of timely acquisition of influenza transmission trend has become an important research topic. For achieving more quicker and accurate detection and prediction, the data recorded on the Internet, especially on the search engine from Google or Baidu are widely introduced into this field. Moreover, with the development of intelligent technology and machine learning algorithm, many updated and advanced trend tracking and forecasting methods are also being used in this research problem.

Methods

In this paper, a new recurrent neural network architecture, attention-based long short-term memory model is proposed for influenza surveillance. This is a kind of deep learning mo

SUBMITTER: Dai S 

PROVIDER: S-EPMC9870163 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature