A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States

Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems, ANNs have not been applied for modeling the geographic distribution of tuberculosis (TB) in the US. Likewise, ecological level researches on TB incidence rate at the national level are inadequate fo...

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Detalles Bibliográficos
Autores principales: Mollalo, Abolfazl, Mao, Liang, Rashidi, Parisa, Glass, Gregory E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338935/
https://www.ncbi.nlm.nih.gov/pubmed/30626123
http://dx.doi.org/10.3390/ijerph16010157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338935/
https://www.ncbi.nlm.nih.gov/pubmed/30626123
http://dx.doi.org/10.3390/ijerph16010157

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