Time series forecasting for tuberculosis incidence employing neural network models

Time series forecasting for tuberculosis incidence employing neural network models

Every effort aimed at stopping the expansion of Tuberculosis is important to national programs' struggle to combat this disease. Different computational tools have been proposed in order to design new strategies that allow managing potential patients and thus providing the correct treatment. In...

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Bibliographic Details
Main Authors: Alvaro David Orjuela-Cañón, Andres Leonardo Jutinico, Mario Enrique Duarte González, Carlos Enrique Awad García, Erika Vergara, María Angélica Palencia
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Heliyon
Subjects:
Tuberculosis
Time series
Forecasting
Neural networks
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022011859

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http://www.sciencedirect.com/science/article/pii/S2405844022011859

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