Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA.

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作者： Aynaz,Lotfata ^[1] ; Stefanos,Georganos ^[2]

作者单位： School of Veterinary Medicine, Department of Veterinary Pathology, University of California, Davis, USA. ^[1] Geomatics, Department of Environmental and Life Sciences, Faculty of Health, Science and Technology, Karlstad University, Karlstad, Sweden. ^[2]

关键词 Behavioral health Chicago Neighborhood Physical inactivity prevalence Spatial machine learning model

DOI 10.1007/s10109-023-00415-y

PMID 37358962

发布时间 2023-09-28

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Journal of geographical systems

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Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA.

Journal of geographical systems

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Journal of geographical systems

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Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA.

Journal of geographical systems

相似文献

Journal of geographical systems

相关期刊

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