AIMC Topic: Socioeconomic Factors
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The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes.
Medical decision making : an international journal of the Society for Medical Decision Making
Dec 1, 2014
OBJECTIVE: To evaluate the impact of the synthetic minority oversampling technique (SMOTE) on the performance of probabilistic neural network (PNN), naïve Bayes (NB), and decision tree (DT) classifiers for predicting diabetes in a prospective cohort ...
Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.
Health care management science
Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Logistic Models
Diagnosis-Related Groups
Socioeconomic Factors
Female
Hospital Administration
Bayes Theorem
Premature Birth
Intensive Care Units, Neonatal
Humans
Birth Weight
Outcome Assessment, Health Care
Prenatal Care
Artificial Intelligence
Pregnancy Complications
Hospital Mortality
Pregnancy
Gestational Age
Risk Adjustment
A heterogeneity analysis of health-related quality of life in early adults born very preterm or very low birthweight across the sociodemographic spectrum.
Social science & medicine (1982)
Sep 1, 2025
Preterm birth and very low birthweight (VP/VLBW) are associated with poorer health-related quality of life (HRQoL) outcomes extending into adulthood, yet it remains unclear how these effects differ across sociodemographic subgroups. This study aimed ...
The Impact of Social Determinants on Cardiovascular Mortality: A Zip Code-Level Analysis in Indiana.
Studies in health technology and informatics
Aug 7, 2025
Cardiovascular disease (CVD) is the leading cause of death globally and is expected to become the top global cause of death by 2030. Although the role of social determinants of health (SDoH) in CVD outcomes is well-established, integrating these fact...
Investigating the influence of socioeconomic factors on the relationships between road characteristics and traffic crash frequency and severity-- A hybrid structural equation modelling - artificial neural networks approach.
Accident; analysis and prevention
Aug 1, 2025
Traffic crashes result from complex interactions between driver, roadway, and environmental factors, which traditional methods often fail to capture. This paper investigates the influence of road, weather, and socioeconomic factors on traffic crashes...
The impact of socio-economic factors on the ecological footprint in Turkey: A comprehensive analysis using machine learning approaches.
Journal of environmental management
Jul 1, 2025
This study undertakes a comprehensive investigation into the impact of socioeconomic factors on the ecological footprint (EFP) in Turkey. It employs robust econometric methods and advanced Machine Learning (ML) models. The study employs Generalized L...
Deep learning-based forecasting of daily maximum ozone levels and assessment of socioeconomic and health impacts in South Korea.
The Science of the total environment
Jun 25, 2025
Accurate forecasting of ground-level ozone (O) is essential for assessing its public health and socioeconomic impacts. This study evaluates the performance of three deep learning models-Deep Convolutional Neural Networks (Deep-CNN), Long Short-Term M...
Improving the mapping of leisure-time physical activity inequities: the use of artificial intelligence to advance estimates of small-areas in Brazil.
Public health
Jun 1, 2025
OBJECTIVE: We estimated the prevalence of leisure-time physical activity (LTPA) in small areas of the city of Belo Horizonte and analyzed inequities across areas and between two time periods, 2009-2013 and 2014-2018.
Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study.
Studies in health technology and informatics
May 15, 2025
Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim of this study was to characterise, using descriptive statistics, the sociodemographic, risk and clinical characteristics of who develops pancreatic can...
Predicting health literacy in Brazil: a machine learning approach.
Health promotion international
May 13, 2025
Health literacy is essential for promoting well-being and the ability to make informed decisions. We investigated the level of health literacy in Brazil and identified the predictive factors that influence it. Our data contribute to the international...
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