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Google Street View Images as Predictors of Patient Health Outcomes, 2017–2019

Collecting neighborhood data can both be time- and resource-intensive, especially across broad geographies. In this study, we leveraged 1.4 million publicly available Google Street View (GSV) images from Utah to construct indicators of the neighborhood built environment and evaluate their associatio...

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Главные авторы: Quynh C. Nguyen, Tom Belnap, Pallavi Dwivedi, Amir Hossein Nazem Deligani, Abhinav Kumar, Dapeng Li, Ross Whitaker, Jessica Keralis, Heran Mane, Xiaohe Yue, Thu T. Nguyen, Tolga Tasdizen, Kim D. Brunisholz
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI AG 2022-01-01
Серии:Big Data and Cognitive Computing
Предметы:
Google Street View
built environment
neighborhood characteristics
patient health
social determinants of health
computer vision
Online-ссылка:https://www.mdpi.com/2504-2289/6/1/15
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