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Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA
The increase in physical inactivity prevalence in the USA has been associated with neighborhood characteristics. While several studies have found an association between neighborhood and health, the relative importance of each component related to physical inactivity or how this value varies geograph...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241140/ https://www.ncbi.nlm.nih.gov/pubmed/37358962 http://dx.doi.org/10.1007/s10109-023-00415-y |