AIMC Topic: Income

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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 Outcome Assessment, Health Care Income Humans Male Middle Aged Electronic Health Records Cohort Studies Racial Groups Female Social Class Aged Adult Social Determinants of Health Health Status Disparities North Carolina
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When robots care: Public deliberations on how technology and humans may support independent living for older adults.

Social science & medicine (1982) Jun 30, 2018
While assistive robots receive growing attention as a potential solution to support older adults to live independently, several scholars question the underlying social, ethical and health policy assumptions. One perplexing issue is determining whethe...
Independent Living Self-Help Devices Quebec Robotics Activities of Daily Living Income Multimedia Delegation, Professional Prospective Studies Humans Female Adult Aged Male Middle Aged
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An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.

Artificial intelligence in medicine Apr 26, 2018
Healthcare quality is affected by various factors including trust. Patients' trust to healthcare providers is one of the most important factors for treatment outcomes. The presented study identifies optimum mixture of patient demographic features wit...
Hospitals Severity of Illness Index Surveys and Questionnaires Male Trust Middle Aged Fuzzy Logic Models, Statistical Physician-Patient Relations Adolescent Socioeconomic Factors Age Factors Delivery of Health Care Female Reproducibility of Results Educational Status Young Adult Adult Humans Uncertainty Patient Acceptance of Health Care Iran Income Patients
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Family income per capita, age, and smoking status are predictors of low fiber intake in residents of São Paulo, Brazil.

Nutrition research (New York, N.Y.) Dec 23, 2015
We hypothesized that dietary total fiber intake may be less than recommendations and that the intake of total, soluble, and insoluble fiber may be associated with demographic, lifestyle, and socioeconomic factors. Data were drawn from the Health Surv...
Middle Aged Diet Brazil Adolescent Socioeconomic Factors Body Mass Index Adult Cross-Sectional Studies Male Female Aged Aged, 80 and over Humans Income Smoking Life Style Age Factors Dietary Fiber Sex Factors
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The Initial Stage of the Artificial Intelligence Revolution: Access to Basic Income is a Human Rights Issue.

Journal of health care for the poor and underserved Jan 1, 2024
Artificial Intelligence Human Rights Income Humans
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Artificial Intelligence and its role in surgical care in low-income and middle-income countries.

The Lancet. Digital health Dec 1, 2019
Surgical Procedures, Operative Developing Countries Poverty Humans Income Artificial Intelligence
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Combining satellite imagery and machine learning to predict poverty.

Science (New York, N.Y.) Aug 19, 2016
Reliable data on economic livelihoods remain scarce in the developing world, hampering efforts to study these outcomes and to design policies that improve them. Here we demonstrate an accurate, inexpensive, and scalable method for estimating consumpt...
Tanzania Satellite Imagery Poverty Malawi Income Humans Machine Learning Nigeria Rwanda Uganda Developing Countries
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