AIMC Topic: Socioeconomic Factors
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Supporting equitable and responsible highway safety improvement funding allocation strategies - Why AI prediction biases matter.
Accident; analysis and prevention
Apr 17, 2024
The existing methodologies for allocating highway safety improvement funding closely rely on the utilization of crash prediction models. Specifically, these models produce predictions that estimate future crash hazard levels in different geographical...
Machine Learning Approach to Study Social Determinants of Chronic Illness in India: A Comparative Analysis.
Indian journal of public health
Apr 4, 2024
BACKGROUND: Several studies on noncommunicable diseases (NCDs) have been carried out worldwide, the basis of most of which is the identification of risk factors-modifiable (or behavioral) and metabolic. Majority of the NCDs are due to sociodemographi...
Exploratory analysis using machine learning algorithms to predict pinch strength by anthropometric and socio-demographic features.
International journal of occupational safety and ergonomics : JOSE
Mar 30, 2024
. This study examines the role of different machine learning (ML) algorithms to determine which socio-demographic factors and hand-forearm anthropometric dimensions can be used to accurately predict hand function. . The cross-sectional study was cond...
Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada.
American journal of clinical dermatology
Mar 18, 2024
BACKGROUND: Psoriasis is a major global health burden affecting ~ 60 million people worldwide. Existing studies on psoriasis focused on individual-level health behaviors (e.g. diet, alcohol consumption, smoking, exercise) and characteristics as drive...
Socio-Economic Factors and Clinical Context Can Predict Adherence to Incidental Pulmonary Nodule Follow-up via Machine Learning Models.
Journal of the American College of Radiology : JACR
Mar 8, 2024
OBJECTIVE: To quantify the relative importance of demographic, contextual, socio-economic, and nodule-related factors that influence patient adherence to incidental pulmonary nodule (IPN) follow-up visits and evaluate the predictive performance of ma...
The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing.
PloS one
Feb 21, 2024
BACKGROUND: With the evolution of China's social structure and values, there has been a shift in attitudes towards marriage and fertility, with an increasing number of women holding diverse perspectives on these matters. In order to better comprehend...
How Socio-economic Inequalities Cluster People with Diabetes in Malaysia: Geographic Evaluation of Area Disparities Using a Non-parameterized Unsupervised Learning Method.
Journal of epidemiology and global health
Feb 5, 2024
Accurate assessments of epidemiological associations between health outcomes and routinely observed proximal and distal determinants of health are fundamental for the execution of effective public health interventions and policies. Methods to couple ...
Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation.
The European journal of health economics : HEPAC : health economics in prevention and care
Jan 3, 2024
We experiment with recent ensemble machine learning methods in estimating healthcare costs, utilizing Finnish data containing rich individual-level information on healthcare costs, socioeconomic status and diagnostic data from multiple registries. Ou...
The impact of austerity on children: Uncovering effect heterogeneity by political, economic, and family factors in low- and middle-income countries.
Social science research
Dec 30, 2023
Which children are most vulnerable when their government imposes austerity? Research tends to focus on either the political-economic level or the family level. Using a sample of nearly two million children in 67 countries, this study synthesizes theo...
Exposure to automation explains religious declines.
Proceedings of the National Academy of Sciences of the United States of America
Aug 14, 2023
The global decline of religiosity represents one of the most significant societal shifts in recent history. After millennia of near-universal religious identification, the world is experiencing a regionally uneven trend toward secularization. We prop...
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