AIMC Topic: Ethnicity

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Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.

Journal of the American College of Radiology : JACR Jan 1, 2022
PURPOSE: The aim of this study was to assess racial/ethnic and socioeconomic disparities in the difference between atherosclerotic vascular disease prevalence measured by a multitask convolutional neural network (CNN) deep learning model using fronta...
Liver Neoplasms Carcinoma, Hepatocellular Radiography Ethnicity Social Deprivation Humans COVID-19 Retrospective Studies SARS-CoV-2 Deep Learning
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Clinical insights into hematologic malignancies and comparative analysis of molecular signatures of acute myeloid leukemia in different ethnicities using an artificial intelligence offering.

Medicine Dec 23, 2021
Next generation sequencing generates copious amounts of genomics data, causing manual interpretation to be laborious and non-scalable while remaining subjective (even for highly trained specialists). We evaluated the performance of the artificial int...
Mutation Pharmaceutical Preparations Ethnicity Off-Label Use fms-Like Tyrosine Kinase 3 Humans Leukemia, Myeloid, Acute Artificial Intelligence Male Prognosis Middle Aged Republic of Korea Adolescent Aged Female Protein-Tyrosine Kinases Aged, 80 and over Young Adult Adult Hematologic Neoplasms
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Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients.

Open heart Oct 1, 2021
OBJECTIVES: Identifying high-risk patients is crucial for effective cardiovascular disease (CVD) prevention. It is not known whether electronic health record (EHR)-based machine-learning (ML) models can improve CVD risk stratification compared with a...
Electronic Health Records Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Retrospective Studies Incidence Survival Rate Time Factors Male United States Cardiovascular Diseases Follow-Up Studies Middle Aged Ethnicity Risk Assessment
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Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Hong Kong Medical History Taking Memory Behavior Mental Status and Dementia Tests Patient Selection Asian People Alzheimer Disease Ethnicity Early Diagnosis Late Onset Disorders Clinical Trial Protocols as Topic Prospective Studies Biomarkers Language Case-Control Studies Wearable Electronic Devices Mobile Applications Cognition Observational Studies as Topic Mutation Models, Biological Humans Artificial Intelligence
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Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States.

Proceedings of the National Academy of Sciences of the United States of America Feb 16, 2021
This study examines the role that racial residential segregation has played in shaping the spread of COVID-19 in the United States as of September 30, 2020. The analysis focuses on the effects of racial residential segregation on mortality and infect...
Ethnicity Mortality Social Segregation Risk Factors Humans United States Machine Learning Socioeconomic Factors COVID-19 Regression Analysis SARS-CoV-2
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Reporting of demographic data and representativeness in machine learning models using electronic health records.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: The development of machine learning (ML) algorithms to address a variety of issues faced in clinical practice has increased rapidly. However, questions have arisen regarding biases in their development that can affect their applicability i...
Female Male Nutrition Surveys Socioeconomic Factors Demography Humans Ethnicity Machine Learning Electronic Health Records
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Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.

The Lancet. Digital health Oct 1, 2020
BACKGROUND: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep learning for ...
Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Europe Area Under Curve Singapore Body Composition Models, Biological Creatinine Algorithms Biomarkers Republic of Korea Photography Female Male Muscles Retina Humans Ethnicity Neural Networks, Computer United Kingdom Beijing Asia
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Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2019
OBJECTIVE: We aimed to address deficiencies in structured electronic health record (EHR) data for race and ethnicity by identifying black and Hispanic patients from unstructured clinical notes and assessing differences between patients with or withou...
Black or African American Racial Groups Male Humans Vulnerable Populations Algorithms Natural Language Processing Electronic Health Records Hispanic or Latino Female Ethnicity Cross-Sectional Studies
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Measuring Exposure to Incarceration Using the Electronic Health Record.

Medical care Jun 1, 2019
BACKGROUND: Electronic health records (EHRs) are a rich source of health information; however social determinants of health, including incarceration, and how they impact health and health care disparities can be hard to extract.
Information Storage and Retrieval United States Department of Veterans Affairs Veterans Administrative Claims, Healthcare Prisoners United States Natural Language Processing Medicare Self Report Humans Ethnicity Electronic Health Records Female Adult Sensitivity and Specificity Male Middle Aged Cohort Studies
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[Breast milk composition and influencing factors of the Han, Bai and Dai nationalities in Yunnan Province in 2011-2012].

Wei sheng yan jiu = Journal of hygiene research Jul 1, 2017
OBJECTIVE: Analysis of breast milk composition and influencing factors of the Han, Bai and Dai nationalities in Yunnan Province from 2010 to 2012.
Ethnicity Cross-Sectional Studies Humans Male Minority Groups Pregnancy Infant Female China Infant, Newborn Milk, Human
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