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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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| Publicado no: | BMC Public Health |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5704396/ https://ncbi.nlm.nih.gov/pubmed/29179711 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12889-017-4914-3 |
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