A systematic review of data mining and machine learning for air pollution epidemiology

BACKGROUND: Data measuring airborne pollutants, public health and environmental factors are increasingly being stored and merged. These big datasets offer great potential, but also challenge traditional epidemiological methods. This has motivated the exploration of alternative methods to make predic...

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Detalles Bibliográficos
Autores principales: Bellinger, Colin, Mohomed Jabbar, Mohomed Shazan, Zaïane, Osmar, Osornio-Vargas, Alvaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5704396/
https://www.ncbi.nlm.nih.gov/pubmed/29179711
http://dx.doi.org/10.1186/s12889-017-4914-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5704396/
https://www.ncbi.nlm.nih.gov/pubmed/29179711
http://dx.doi.org/10.1186/s12889-017-4914-3

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