Cluster-based LSTM models to improve Dengue cases forecast

Cluster-based LSTM models to improve Dengue cases forecast

Public health problems such as dengue fever need accurate forecasts so governments can take effective preventive measures. Deep learning (DL) and machine learning have become increasingly popular as the volume of data increases continuously. Nevertheless, performing accurate predictions in areas wi...

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Bibliographic Details
Main Authors:	Juan Vicente Bogado Machuca, Diego Herbin Stalder Díaz, Christian Emilio Schaerer Serra
Format:	Article
Language:	English
Published:	Centro Latinoamericano de Estudios en Informática 2023-05-01
Series:	CLEI Electronic Journal
Subjects:	lstm time series forecasting epidemiology dengue
Online Access:	https://clei.org/cleiej/index.php/cleiej/article/view/580

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