A Windowed Correlation-Based Feature Selection Method to Improve Time Series Prediction of Dengue Fever Cases

A Windowed Correlation-Based Feature Selection Method to Improve Time Series Prediction of Dengue Fever Cases

The performance of data-driven models depends on training samples. For accurately predicting dengue fever cases, historical incidence data are inadequate in many locations. This work aims to enhance temporally limited dengue case data by methodological addition of epidemically relevant case data fro...

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Bibliographic Details
Main Authors: Tanvir Ferdousi, Lee W. Cohnstaedt, Caterina M. Scoglio
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Dengue
feature selection
machine learning
recurrent neural networks
time series
Online Access:https://ieeexplore.ieee.org/document/9570306/

Internet

https://ieeexplore.ieee.org/document/9570306/

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