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Predicting the hotspots of age-adjusted mortality rates of lower respiratory infection across the continental United States: Integration of GIS, spatial statistics and machine learning algorithms
OBJECTIVE: Although lower respiratory infections (LRI) are among the leading causes of mortality in the US, their association with underlying factors and geographic variation have not been adequately examined. METHODS: In this study, explanatory variables (n = 46) including climatic, topographic, so...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442929/ https://www.ncbi.nlm.nih.gov/pubmed/32871492 http://dx.doi.org/10.1016/j.ijmedinf.2020.104248 |