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Deep Learning–Based Assessment of Built Environment From Satellite Images and Cardiometabolic Disease Prevalence

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References

2018Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas3,307 cited
2011A Social Vulnerability Index for Disaster Management1,857 cited
2015Social Determinants of Risk and Outcomes for Cardiovascular Disease1,472 cited
2003Area Deprivation and Widening Inequalities in US Mortality, 1969–19981,430 cited
2018Socioeconomic Status and Cardiovascular Outcomes1,407 cited
1997Neighborhood Environments and Coronary Heart Disease: A Multilevel Analysis744 cited
2018Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity106 cited
2020Health and the built environment in United States cities: measuring associations using Google Street View-derived indicators of the built environment91 cited
2024Artificial intelligence–based assessment of built environment from Google Street View and coronary artery disease prevalence37 cited

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2024AI-Facilitated Assessment of Built Environment Using Neighborhood Satellite Imagery and Cardiovascular Risk10 cited
2025The built environment and adverse cardiovascular events in US veterans with cardiovascular disease4 cited
2025AI-Enhanced Analysis of Built Environment Imagery and Neighborhood Obesity in US Cities4 cited

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