AIMC Topic: Social Class

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Haves and have-nots: socioeconomic position improves accuracy of machine learning algorithms for predicting high-impact chronic pain.

Pain Oct 11, 2024
Lower socioeconomic position (SEP) is associated with increased risk of developing chronic pain, experiencing more severe pain, and suffering greater pain-related disability. However, SEP is a multidimensional construct; there is a dearth of research...
Humans Machine Learning Male Algorithms Middle Aged Socioeconomic Factors Social Class Chronic Pain Female Aged Young Adult Adult
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Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis.

Journal of Korean medical science Nov 8, 2021
BACKGROUND: This study used machine learning and population data for testing the associations of preterm birth with gastroesophageal reflux disease (GERD) and periodontitis.
Gastroesophageal Reflux Social Class Premature Birth Adult Logistic Models Periodontitis Humans Databases, Factual Machine Learning Retrospective Studies Republic of Korea Pregnancy Female
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Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression.

Computational and mathematical methods in medicine Oct 13, 2021
COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumul...
Communicable Diseases Reproducibility of Results SARS-CoV-2 China Cities Humans Machine Learning COVID-19 Algorithms Climate Epidemics Social Class Geography Spatial Regression Computational Biology Environmental Monitoring Models, Statistical Least-Squares Analysis
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Predicting affinity ties in a surname network.

PloS one Sep 2, 2021
From administrative registers of last names in Santiago, Chile, we create a surname affinity network that encodes socioeconomic data. This network is a multi-relational graph with nodes representing surnames and edges representing the prevalence of i...
Consanguinity Chile Names Data Mining Social Class Pedigree Humans Machine Learning Female Male
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The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics.

International journal of environmental research and public health Dec 11, 2020
This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle factors. The data of 27,415 subjects who went through examinations...
Male Middle Aged Mass Screening Metabolic Syndrome Taiwan Area Under Curve Waist Circumference Social Class Life Style Neural Networks, Computer Female Aged Adult Humans
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Potential Confounders in the Analysis of Brazilian Adolescent's Health: A Combination of Machine Learning and Graph Theory.

International journal of environmental research and public health Dec 21, 2019
The prevalence of health problems during childhood and adolescence is high in developing countries such as Brazil. Social inequality, violence, and malnutrition have strong impact on youth health. To better understand these issues we propose to combi...
Humans Machine Learning Female Male Adolescent Health Social Class Nutrition Assessment Brazil Adolescent Socioeconomic Factors
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Decoding rumination: A machine learning approach to a transdiagnostic sample of outpatients with anxiety, mood and psychotic disorders.

Journal of psychiatric research Dec 7, 2019
OBJECTIVE: To employ machine learning algorithms to examine patterns of rumination from RDoC perspective and to determine which variables predict high levels of maladaptive rumination across a transdiagnostic sample.
Social Class Adaptation, Psychological Rumination, Cognitive Adult Male Middle Aged Anxiety Disorders Severity of Illness Index Humans Models, Theoretical Cytokines Support Vector Machine Female Psychotic Disorders Mood Disorders
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Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model.

The Journal of arthroplasty May 2, 2019
BACKGROUND: The primary objective was to develop and test an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition for total hip arthroplasty. The secondary objective was to create...
Preoperative Period Social Class Health Care Costs Osteoarthritis, Hip Fees and Charges Female ROC Curve Comorbidity Reproducibility of Results Humans United States Deep Learning Aged Databases, Factual Inpatients Length of Stay Aged, 80 and over Arthroplasty, Replacement, Hip Cohort Studies Male
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Expression of socially sensitive genes: The multi-ethnic study of atherosclerosis.

PloS one Apr 11, 2019
BACKGROUND: Gene expression may be an important biological mediator in associations between social factors and health. However, previous studies were limited by small sample sizes and use of differing cell types with heterogeneous expression patterns...
Middle Aged Monocytes Humans Atherosclerosis Machine Learning Social Class Ethnicity Female Gene Expression Regulation Aged Loneliness Male
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Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data.

JAMA network open Sep 7, 2018
IMPORTANCE: Data from electronic health records (EHRs) are increasingly used for risk prediction. However, EHRs do not reliably collect sociodemographic and neighborhood information, which has been shown to be associated with health. The added contri...
Residence Characteristics Health Status Disparities Adult Outcome Assessment, Health Care Humans North Carolina Male Income Racial Groups Electronic Health Records Middle Aged Social Determinants of Health Social Class Female Cohort Studies Aged
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