Using machine learning to examine associations between the built environment and physical function: A feasibility study

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Rachele, Jerome ORCID: 0000-0002-5101-4010, Wang, Jingcheng, Wijnands, Jasper S, Zhao, Haifeng, Bentley, Rebecca and Stevenson, Mark (2021) Using machine learning to examine associations between the built environment and physical function: A feasibility study. Health and Place, 70. ISSN 1353-8292

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Item type	Article
URI	https://vuir.vu.edu.au/id/eprint/42432
DOI	https://doi.org/10.1016/j.healthplace.2021.102601
Official URL	https://www.sciencedirect.com/science/article/abs/...
Funders	http://purl.org/au-research/grants/nhmrc/497236, http://purl.org/au-research/grants/nhmrc/1047453, http://purl.org/au-research/grants/nhmrc/339718
Subjects	Current > FOR (2020) Classification > 3304 Urban and regional planning Current > FOR (2020) Classification > 4206 Public health Current > Division/Research > Institute for Health and Sport Current > Division/Research > College of Health and Biomedicine
Keywords	deep learning; neighbourhood design; urban design; aerial images; physical activity; health-enhancing behaviours
Citations in Scopus	4 - View on Scopus
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