Application of neural network to simulate the behavior of hospitalizations and their costs under the effects of various polluting gases in the city of São Paulo

This work aims to obtain an artificial neural network to simulate hospitalizations for respiratory diseases influenced by pollutant gaseous such as CO, PM(10), PM(2.5), NO(2), O(3), and SO(2) emitted from 2011 to 2017, in the city of São Paulo. The hospitalization costs were also be calculated. MLP...

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Detalles Bibliográficos
Autores principales: Miranda, Amanda Carvalho, Santana, José Carlos Curvelo, Yamamura, Charles Lincoln Kenji, Rosa, Jorge Marcos, Tambourgi, Elias Basile, Ho, Linda Lee, Berssaneti, Fernando Tobal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556003/
https://www.ncbi.nlm.nih.gov/pubmed/34745381
http://dx.doi.org/10.1007/s11869-021-01077-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556003/
https://www.ncbi.nlm.nih.gov/pubmed/34745381
http://dx.doi.org/10.1007/s11869-021-01077-9

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