AIMC Topic: Ethnicity

Clear Filters Showing 41 to 50 of 80 articles

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 ...
Humans Support Vector Machine Machine Learning Bayes Theorem Reproducibility of Results Ethnicity Canada Censuses Logistic Models
View on PubMed DOI

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...
Patient Satisfaction Hospital Departments Automated Facial Recognition Humans Gastroenterology Minority Groups Artificial Intelligence Cultural Diversity Quality Assurance, Health Care United States Female Gender Equity Quality Indicators, Health Care Ethnicity Male Outcome Assessment, Health Care
View on PubMed DOI

Deep transfer learning for reducing health care disparities arising from biomedical data inequality.

Nature communications Oct 12, 2020
As artificial intelligence (AI) is increasingly applied to biomedical research and clinical decisions, developing unbiased AI models that work equally well for all ethnic groups is of crucial importance to health disparity prevention and reduction. H...
Neoplasms Healthcare Disparities Ethnicity Artificial Intelligence Machine Learning Algorithms Biomedical Research Humans
View on PubMed DOI

Personalized treatment for coronary artery disease patients: a machine learning approach.

Health care management science Oct 10, 2020
Current clinical practice guidelines for managing Coronary Artery Disease (CAD) account for general cardiovascular risk factors. However, they do not present a framework that considers personalized patient-specific characteristics. Using the electron...
Humans Female Male Coronary Artery Disease Ethnicity Machine Learning Algorithms Precision Medicine Electronic Health Records
View on PubMed DOI

Assessment of and polymorphisms in age-related macular degeneration using classic and machine-learning approaches.

Ophthalmic genetics Aug 24, 2020
BACKGROUND: and are pivotal genes driving increased risk for age-related macular degeneration (AMD) among several populations. Here, we performed a hospital-based case-control study to evaluate the effects of three single nucleotide polymorphisms (...
Case-Control Studies Phenotype Genetic Predisposition to Disease Female Polymorphism, Single Nucleotide Aged Ethnicity Macular Degeneration Male Humans Complement Factor H Machine Learning High-Temperature Requirement A Serine Peptidase 1
View on PubMed DOI

Artificial intelligence may offer insight into factors determining individual TSH level.

PloS one May 20, 2020
The factors that determine Serum Thyrotropin (TSH) levels have been examined through different methods, using different covariates. However, the use of machine learning methods has so far not been studied in population databases like NHANES (National...
Thyrotropin Thyroxine Ethnicity Triiodothyronine Humans Artificial Intelligence Machine Learning Retrospective Studies Female Male Body Mass Index Age Factors
View on PubMed DOI

Age estimation using bloodstain miRNAs based on massive parallel sequencing and machine learning: A pilot study.

Forensic science international. Genetics Apr 22, 2020
Age estimation is one of the most important components in the practice of forensic science, especially for body fluids or stains at crime scenes. Recent studies have focused on the application of DNA methylation for chronological age determination in...
Female Aged Young Adult Adult Humans Machine Learning Algorithms Pilot Projects MicroRNAs Ethnicity High-Throughput Nucleotide Sequencing Male Aging Middle Aged Gene Expression Profiling Polymerase Chain Reaction Blood Stains
View on PubMed DOI

Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis.

Circulation. Arrhythmia and electrophysiology Feb 16, 2020
BACKGROUND: Deep learning algorithms derived in homogeneous populations may be poorly generalizable and have the potential to reflect, perpetuate, and even exacerbate racial/ethnic disparities in health and health care. In this study, we aimed to (1)...
Racial Groups Male Ventricular Function, Left Middle Aged Deep Learning Electrocardiography Follow-Up Studies Heart Ventricles Ethnicity Humans Artificial Intelligence Retrospective Studies Female
View on PubMed DOI

Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods.

JAMA network open Aug 2, 2019
IMPORTANCE: Quantifying patient-physician cost conversations is challenging but important as out-of-pocket spending by US patients increases and patients are increasingly interested in discussing costs with their physicians.
Medicare Health Expenditures Ethnicity Income Health Care Costs Cost of Illness Medicaid Humans Prevalence Intensive Care Units Primary Health Care Female United States Hospitalization Natural Language Processing Aged Adult Male Middle Aged
View on PubMed DOI

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...
Male Middle Aged Monocytes Atherosclerosis Humans Machine Learning Female Aged Ethnicity Gene Expression Regulation Social Class Loneliness
View on PubMed DOI
Popular Topics
Recent Journals