AIMC Topic: Residence Characteristics

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The influence of neighborhood quality on tourism in China: Using Baidu Street View pictures and deep learning techniques.

PloS one Nov 3, 2022
Previous studies have investigated the determinants of urban tourism development from the various attributes of neighborhood quality. However, traditional methods to assess neighborhood quality are often subjective, costly, and only on a small scale....
Tourism Economic Development China Cities Residence Characteristics Deep Learning
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Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities.

Scientific reports Nov 1, 2022
New 'big data' streams such as street-level imagery are offering unprecedented possibilities for developing health-relevant data on the urban environment. Urban environmental features derived from street-level imagery have been used to assess pedestr...
Canada Residence Characteristics Environment Design Walking Humans Deep Learning Cities
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A machine learning approach to small area estimation: predicting the health, housing and well-being of the population of Netherlands.

International journal of health geographics Jun 6, 2022
BACKGROUND: Local policymakers require information about public health, housing and well-being at small geographical areas. A municipality can for example use this information to organize targeted activities with the aim of improving the well-being o...
Models, Statistical Netherlands Housing Humans Machine Learning Residence Characteristics
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Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning.

Computational intelligence and neuroscience Feb 7, 2022
This paper integrates classical design theory, multisource urban data, and deep learning to explore an accurate analytical framework in a new data environment, providing a scientific analysis path for the "where" and "how" of greenways in a high-dens...
Deep Learning Walking Built Environment Residence Characteristics Environment Design
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Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study.

Frontiers in public health Nov 5, 2021
What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks? Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decade...
Schools Income Cross-Sectional Studies Deep Learning United States Residence Characteristics
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Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Oct 25, 2021
BACKGROUND: Disparities in the stage at diagnosis for breast cancer have been independently associated with various contextual characteristics. Understanding which combinations of these characteristics indicate highest risk, and where they are locate...
Aged Adult Breast Neoplasms Machine Learning Phenotype Female Residence Characteristics Neoplasm Invasiveness Mammography SEER Program Middle Aged United States Rural Population Humans Poverty Areas Medically Uninsured
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The Premium of Public Perceived Greenery: A Framework Using Multiscale GWR and Deep Learning.

International journal of environmental research and public health Jun 24, 2021
Population agglomeration and real estate development encroach on public green spaces, threatening human settlement equity and perceptual experience. Perceived greenery is a vital interface for residents to interact with the urban eco-environment. Nev...
Deep Learning Residence Characteristics Parks, Recreational Beijing Empirical Research Humans
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Using machine learning to examine street green space types at a high spatial resolution: Application in Los Angeles County on socioeconomic disparities in exposure.

The Science of the total environment May 8, 2021
BACKGROUND: Compared to commonly-used green space indicators from downward-facing satellite imagery, street view-based green space may capture different types of green space and represent how environments are perceived and experienced by people on th...
Poaceae Residence Characteristics Trees Humans Los Angeles Parks, Recreational Machine Learning Socioeconomic Factors
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Host variables confound gut microbiota studies of human disease.

Nature Nov 4, 2020
Low concordance between studies that examine the role of microbiota in human diseases is a pervasive challenge that limits the capacity to identify causal relationships between host-associated microorganisms and pathology. The risk of obtaining false...
Life Style Confounding Factors, Epidemiologic Adult Male Gastrointestinal Motility Middle Aged ROC Curve Alcohol Drinking Humans Aged Disease RNA, Ribosomal, 16S Diabetes Mellitus, Type 2 Aged, 80 and over Machine Learning Residence Characteristics Body Mass Index Young Adult Data Analysis Diet Area Under Curve Gastrointestinal Microbiome Female Case-Control Studies Feces
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Tree-Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood Level.

Journal of the American Heart Association Nov 3, 2020
Background Stroke is a major cardiovascular disease that causes significant health and economic burden in the United States. Neighborhood community-based interventions have been shown to be both effective and cost-effective in preventing cardiovascul...
Humans Risk Factors Aged Machine Learning Female United States Socioeconomic Factors Residence Characteristics Health Behavior Age Factors Middle Aged Stroke Exercise Young Adult Prevalence Adult Male
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