AIMC Topic: Ethnicity
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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...
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...
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 (...
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...
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...
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)...
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.
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...
Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits.
Genetic epidemiology
Nov 2, 2018
The manifestation of complex traits is influenced by gene-gene and gene-environment interactions, and the identification of multifactor interactions is an important but challenging undertaking for genetic studies. Many complex phenotypes such as dise...
Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.
Journal of diabetes science and technology
Sep 5, 2018
In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care. With the creation of new sensors for physiological monitoring sensors and the introduction of smart insulin pens, novel data relationships based on ...
Data Collection
Decision Support Systems, Clinical
Racial Groups
Diabetes Mellitus, Type 2
Humans
Language
Healthcare Disparities
Reproducibility of Results
Genotype
Artificial Intelligence
Computational Biology
Access to Information
Phenotype
Public Health
Ethnicity
Precision Medicine
Big Data
Diabetes Mellitus, Type 1
Decision Making
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