AIMC Topic: Ethnicity

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Generative adversarial networks for modelling clinical biomarker profiles with race/ethnicity.

British journal of clinical pharmacology Dec 20, 2022
AIMS: Modelling biomarker profiles for under-represented race/ethnicity groups are challenging because the underlying studies frequently do not have sufficient participants from these groups. The aim was to investigate generative adversarial networks...
Biomarkers Nutrition Surveys Ethnicity Humans Neural Networks, Computer Artificial Intelligence
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Predicting Patient Demographics From Chest Radiographs With Deep Learning.

Journal of the American College of Radiology : JACR Aug 11, 2022
BACKGROUND: Deep learning models are increasingly informing medical decision making, for instance, in the detection of acute intracranial hemorrhage and pulmonary embolism. However, many models are trained on medical image databases that poorly repre...
Radiography Ethnicity Radiography, Thoracic Artificial Intelligence Deep Learning Humans
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Ethnicity-Specific Features of COVID-19 Among Arabs, Africans, South Asians, East Asians, and Caucasians in the United Arab Emirates.

Frontiers in cellular and infection microbiology Mar 16, 2022
BACKGROUND: Dubai (United Arab Emirates; UAE) has a multi-national population which makes it exceptionally interesting study sample because of its unique demographic factors.
Ethnicity Retrospective Studies Humans Asian People COVID-19 Arabs United Arab Emirates
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Application of deep learning algorithm on whole genome sequencing data uncovers structural variants associated with multiple mental disorders in African American patients.

Molecular psychiatry Jan 8, 2022
Mental disorders present a global health concern, while the diagnosis of mental disorders can be challenging. The diagnosis is even harder for patients who have more than one type of mental disorder, especially for young toddlers who are not able to ...
Whole Genome Sequencing Ethnicity Minority Groups Black or African American Attention Deficit Disorder with Hyperactivity Humans Algorithms Deep Learning
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Disease ontologies for knowledge graphs.

BMC bioinformatics Jul 21, 2021
BACKGROUND: Data integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy. A common task is to map between ontologies, find disease...
Ethnicity Information Storage and Retrieval Biological Ontologies Humans Pattern Recognition, Automated Knowledge
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A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes.

Nature communications Mar 12, 2021
Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent alleles, which is one of the factors that reduce the reliability of trans-ethnic major histocompatibility complex (MHC) fine-mapping due to inter-ethn...
Ethnicity Racial Groups Linkage Disequilibrium Alleles Histocompatibility Antigens Class I Major Histocompatibility Complex Histocompatibility Antigens Class II Genome-Wide Association Study Genetic Predisposition to Disease Genotype Diabetes Mellitus, Type 1 HLA Antigens Humans Deep Learning
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The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.

Journal of medical Internet research Feb 10, 2021
There is clear evidence to suggest that diabetes does not affect all populations equally. Among adults living with diabetes, those from ethnoracial minority communities-foreign-born, immigrant, refugee, and culturally marginalized-are at increased ri...
Minority Groups Diabetes Mellitus Ethnicity Humans Artificial Intelligence
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Can artificial intelligence help create racial equality in the USA?

The Lancet. Digital health Feb 8, 2021
Health Equity Artificial Intelligence Humans Healthcare Disparities Ethnicity Racial Groups Social Justice United States
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A machine learning approach to predict ethnicity using personal name and census location in Canada.

PloS one Nov 18, 2020
BACKGROUND: Canada is an ethnically-diverse country, yet its lack of ethnicity information in many large databases impedes effective population research and interventions. Automated ethnicity classification using machine learning has shown potential ...
Canada Logistic Models Support Vector Machine Bayes Theorem Ethnicity Humans Machine Learning Reproducibility of Results Censuses
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A Novel Use of Artificial Intelligence to Examine Diversity and Hospital Performance.

The Journal of surgical research Oct 21, 2020
BACKGROUND: The US population is becoming more racially and ethnically diverse. Research suggests that cultural diversity within organizations can increase team potency and performance, yet this theory has not been explored in the field of surgery. F...
Quality Assurance, Health Care United States Quality Indicators, Health Care Ethnicity Gender Equity Outcome Assessment, Health Care Patient Satisfaction Humans Male Hospital Departments Automated Facial Recognition Gastroenterology Artificial Intelligence Minority Groups Cultural Diversity Female
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