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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |