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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Detalles Bibliográficos
Autores principales: Orjuela-Cañón, Alvaro David, Jutinico, Andres Leonardo, Duarte González, Mario Enrique, Awad García, Carlos Enrique, Vergara, Erika, Palencia, María Angélica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293643/
https://www.ncbi.nlm.nih.gov/pubmed/35865994
http://dx.doi.org/10.1016/j.heliyon.2022.e09897

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293643/
https://www.ncbi.nlm.nih.gov/pubmed/35865994
http://dx.doi.org/10.1016/j.heliyon.2022.e09897

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