AIMC Topic: Social Class

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Salmonella infections modelling in Mississippi using neural network and geographical information system (GIS).

BMJ open Mar 3, 2016
OBJECTIVES: Mississippi (MS) is one of the southern states with high rates of foodborne infections. The objectives of this paper are to determine the extent of Salmonella and Escherichia coli infections in MS, and determine the Salmonella infections ...
Humans Neural Networks, Computer Disease Outbreaks Geographic Information Systems Socioeconomic Factors Models, Statistical Regression Analysis Foodborne Diseases Population Surveillance Social Class Salmonella Infections Mississippi
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Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index.

Journal of the American Medical Informatics Association : JAMIA Jun 14, 2022
OBJECTIVE: Artificial intelligence (AI) models may propagate harmful biases in performance and hence negatively affect the underserved. We aimed to assess the degree to which data quality of electronic health records (EHRs) affected by inequities rel...
Humans Artificial Intelligence Machine Learning Delivery of Health Care Asthma Child Bias Social Class
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