Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study.

ABSTRACT:

Background

Changeful seasonal influenza activity in subtropical areas such as Taiwan causes problems in epidemic preparedness. The Taiwan Centers for Disease Control has maintained real-time national influenza surveillance systems since 2004. Except for timely monitoring, epidemic forecasting using the national influenza surveillance data can provide pivotal information for public health response.

Objective

We aimed to develop predictive models using machine learning to provide real-time influenza-like illness forecasts.

Methods

Using surveillance data of influenza-like illness visits from emergency departments (from the Real-Time Outbreak and Disease Surveillance System), outpatient departments (from the National Health Insurance database), and the records of patient

SUBMITTER: Cheng HY 

PROVIDER: S-EPMC7439145 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature