AIMC Topic: Residence Characteristics
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Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.
International journal of health geographics
May 9, 2018
BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative s...
Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation.
International journal of environmental research and public health
Dec 27, 2017
In a town located in a desert area of Northern Chile, gold and copper open-pit mining is carried out involving explosive processes. These processes are associated with increased dust exposure, which might affect children's respiratory health. Therefo...
Racial/Ethnic Disparities in Rates of Traumatic Injury in Arizona, 2011-2012.
Public health reports (Washington, D.C. : 1974)
Aug 22, 2016
OBJECTIVE: The purpose of this study was to compare the rates of traumatic injury among five racial/ethnic groups in Arizona and to identify which mechanisms and intents of traumatic injury were predominant in each group.
Exploring the forest instead of the trees: An innovative method for defining obesogenic and obesoprotective environments.
Health & place
Sep 19, 2015
Past research has assessed the association of single community characteristics with obesity, ignoring the spatial co-occurrence of multiple community-level risk factors. We used conditional random forests (CRF), a non-parametric machine learning appr...
Understanding safety-critical interactions with a home medical device through Distributed Cognition.
Journal of biomedical informatics
Jun 6, 2015
As healthcare shifts from the hospital to the home, it is becoming increasingly important to understand how patients interact with home medical devices, to inform the safe and patient-friendly design of these devices. Distributed Cognition (DCog) has...
Female
Aged
Adult
Renal Dialysis
Residence Characteristics
Male
Middle Aged
Software
Algorithms
Patient Safety
Humans
Artificial Intelligence
Anthropology, Cultural
Hemodialysis, Home
Artifacts
United Kingdom
Renal Insufficiency
Decision Making
Interior Design and Furnishings
Data Collection
Equipment and Supplies
Exploring the complex associations between community public spaces and healthy aging: an explainable analysis using catboost and SHAP.
BMC public health
Jul 2, 2025
BACKGROUND: As global aging accelerates, community public spaces (CPS) are increasingly recognized as vital for promoting healthy aging. However, existing research often employs linear analytical methods or focuses on single health dimensions, overlo...
Effects of neighborhood streetscape on the single-family housing price: Focusing on nonlinear and interaction effects using interpretable machine learning.
PloS one
Jan 1, 2025
Previous studies using the conventional Hedonic Price Model to predict existing housing prices may have limitations in addressing the relationship between house prices and streetscapes as visually perceived at the human eye level, due to the constrai...
An Infrared Array Sensor-Based Method for Localizing and Counting People for Health Care and Monitoring.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
To build a system for monitoring elderly people living alone, an important step needs to be done: identifying the presence/absence of the person being monitored and his location. Such task has several applications that we discuss in this paper, and r...
Unhealthy Behaviors, Prevention Measures, and Neighborhood Cardiovascular Health: A Machine Learning Approach.
Journal of public health management and practice : JPHMP
Jan 1, 2019
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the United States. We merged the 500 Cities Data and the 2011-2015 American Community Survey to create a new data set that includes sociodemographic char...
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