Article

LSTM-Based Recurrent Neural Network Provides Effective Short Term Flu Forecasting

2023-05-02

Abstract excerpt

<h4>Background: </h4> Influenza virus is responsible for a yearly epidemic in much of the world. To better predict short-term, seasonal variations in flu infection rates and possible mechanisms of yearly infection variation, we trained a Long Short-Term Memory (LSTM)-based deep neural network on historical Influenza-Like-Illness (ILI), climate, and population data. Methods Data were collected from the Centers for...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d89bf2bb-9409-5925-aaf4-38148138bcb5
DOI: 10.21203/rs.3.rs-2818892/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

LSTM-Based Recurrent Neural Network Provides Effective Short Term Flu ForecastingDOI 10.21203/rs.3.rs-2818892/v1Read

Forecasting Influenza-Like Illness (ILI) during the COVID-19 PandemicSemantic proximity Read

Developing a dengue forecast model using Long Short Term Memory neural networks methodSemantic proximity Read

Modelling for prediction of the spread and severity of COVID-19 and its association with socioeconomic factors and virus typesSemantic proximity Read

Evaluating predictive hybrid neural network models in spatiotemporal context: An application on Influenza outbreak predictionsSemantic proximity Read

Deep Learning and Holt-Trend Algorithms for predicting COVID-19 pandemicSemantic proximity Read

A Machine Learning-enabled SIR Model for Adaptive and Dynamic Forecasting of COVID-19Semantic proximity Read

Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, ChinaSemantic proximity Read

Forecasting Time Series Covid 19 Using Deep Learning Methods: South America Comparative Case StudySemantic proximity Read

National and Regional Influenza-Like-Illness Forecasts for the USASemantic proximity Read

A prediction method for influenza during COVID-19 in Shanxi Province, China: LSTM-SARIMA hybrid model based on Singular Spectrum AnalysisSemantic proximity Read

A Decade of CDC FluSight Influenza ForecastingSemantic proximity Read

Review of Forecasting Models for Coronavirus (COVID-19) Pandemic in India during Country-wise LockdownsSemantic proximity Read