AIMC Topic: Spatial Analysis

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Spatial analysis of county-level determinants of overdose mortality in the United States using spatial machine learning.

BMC public health Jul 2, 2025
In recent years, there has been a growing body of literature on identifying effective determinants for modeling the spatial variation of overdose rates, addressing this emerging public health concern globally. We compiled a range of widely recognized...
Machine Learning United States Spatial Analysis Drug Overdose Humans
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Alzheimer's Disease Dementia Prevalence in the United States: A County-Level Spatial Machine Learning Analysis.

American journal of Alzheimer's disease and other dementias Apr 21, 2025
A growing body of literature has examined the impact of neighborhood characteristics on Alzheimer's disease (AD) dementia, yet the spatial variability and relative importance of the most influential factors remain underexplored. We compiled various w...
Risk Factors Prevalence United States Neighborhood Characteristics Humans Machine Learning Alzheimer Disease Spatial Analysis
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Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.

Geospatial health Mar 26, 2025
INTRODUCTION: Chronic Obstructive Pulmonary Disease (COPD) mortality rates and global warming have been in the focus of scientists and policymakers in the past decade. The long-term shifts in temperature and weather patterns, commonly referred to as ...
Middle Aged United States Machine Learning Climate Change Humans Temperature Female Spatial Analysis Adult Aged Pulmonary Disease, Chronic Obstructive Male
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Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects.

BMC public health Mar 12, 2025
BACKGROUND: Dengue fever is a mosquito-borne viral disease that poses significant health risks and socioeconomic challenges in Brazil, necessitating accurate forecasting across its 27 federal states. With the country's diverse climate and geographica...
Forecasting Brazil Spatial Analysis Climate Dengue Humans Neural Networks, Computer
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Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning.

BMC public health Mar 1, 2025
BACKGROUND: Metabolic diseases (MDs), exemplified by diabetes, hypertension, and dyslipidemia, have become increasingly prevalent with rising living standards, posing significant public health challenges. The MDs are influenced by a complex interplay...
China Air Pollutants Air Pollution Environmental Exposure Female Male Middle Aged Humans Metabolic Diseases Machine Learning Spatial Analysis
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Uncovering soil heavy metal pollution hotspots and influencing mechanisms through machine learning and spatial analysis.

Environmental pollution (Barking, Essex : 1987) Feb 21, 2025
Soil heavy metal (HM) pollution is a significant and widespread environmental issue in China, highlighting the need to quantify influencing factors and identify priority concern areas for effective prevention and management. Based on published litera...
Environmental Pollution Spatial Analysis Industry Metals, Heavy Agriculture Environmental Monitoring Soil Pollutants Transportation Environmental Policy Soil China Machine Learning
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Spatial heterogeneity effect of built environment on traffic safety using geographically weighted atrous convolutions neural network.

Accident; analysis and prevention Feb 8, 2025
The built environment exerts a significant influence on the frequency and severity of traffic accidents. Spatially uniform assumptions on the impacts of built environment factors commonly employed in existing research may lead to inconsistent and con...
Neural Networks, Computer China Cities Environment Design Humans Built Environment Accidents, Traffic Population Density Safety Spatial Analysis
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Multimodal multiview bilinear graph convolutional network for mild cognitive impairment diagnosis.

Biomedical physics & engineering express Jan 22, 2025
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's disease (AD) and can serve as an important indicator of disease progression. However, many existing methods focus mainly on the image when processing b...
Neuroimaging Gray Matter White Matter Prediction Methods, Machine Alzheimer Disease Humans Datasets as Topic Spatial Analysis Genetic Predisposition to Disease Predictive Value of Tests Magnetic Resonance Imaging Cerebrospinal Fluid Neural Networks, Computer Genetic Testing Cognitive Dysfunction
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Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach.

JMIR cancer Jan 16, 2025
BACKGROUND: Breast cancer screening plays a pivotal role in early detection and subsequent effective management of the disease, impacting patient outcomes and survival rates.
Humans Machine Learning Female Middle Aged United States Behavioral Risk Factor Surveillance System Aged Socioeconomic Disparities in Health Breast Neoplasms Mammography Socioeconomic Factors Healthcare Disparities Spatial Analysis Mass Screening Social Determinants of Health Early Detection of Cancer
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Machine learning approach and geospatial analysis to determine HIV infection, awareness status, and transmission knowledge among adults in Sub-Saharan Africa.

BMC research notes Dec 23, 2024
BACKGROUND: HIV/AIDS remains a major public health challenge, in Sub-Saharan Africa (SSA). In 2020, 16% of people living with HIV did not know their HIV status in SSA. Understanding the geospatial distribution of HIV infection, awareness status, and ...
Awareness Young Adult Middle Aged Adult Humans Prevalence Africa South of the Sahara Male HIV Infections Machine Learning Adolescent Spatial Analysis Female Health Knowledge, Attitudes, Practice
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