AIMC Topic: Racial Groups

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Autosomal deletion/insertion polymorphisms for global stratification analyses and ancestry origin inferences of different continental populations by machine learning methods.

Electrophoresis May 19, 2021
A lot of population data of 30 deletion/insertion polymorphisms (DIPs) of the Investigator DIPplex kit in different continental populations have been reported. Here, we assessed genetic distributions of these 30 DIPs in different continental populati...
Humans Asian People Gene Frequency Racial Groups Black People Genetics, Population Machine Learning Polymorphism, Single Nucleotide Genotype Bayes Theorem
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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...
Linkage Disequilibrium Major Histocompatibility Complex Histocompatibility Antigens Class II Humans Alleles Deep Learning Histocompatibility Antigens Class I Ethnicity Genotype Racial Groups Diabetes Mellitus, Type 1 HLA Antigens Genome-Wide Association Study Genetic Predisposition to Disease
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Can artificial intelligence help create racial equality in the USA?

The Lancet. Digital health Feb 8, 2021
Ethnicity Racial Groups Social Justice Humans United States Health Equity Artificial Intelligence Healthcare Disparities
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A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach.

Genes Dec 16, 2020
There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open ques...
Computer Simulation Animals Africa Models, Theoretical Humans Machine Learning Racial Groups Asia Biological Evolution History, Ancient Human Migration Europe Bayes Theorem Genetic Variation Genome, Human Hominidae Neanderthals
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Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.

Radiology Nov 24, 2020
Background Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining these metrics has been too resource intensive for large-scale use. Thus, population-wide distributions of BC remain uncertain. Purpose To demon...
Age Distribution Sex Distribution Deep Learning Cohort Studies Image Processing, Computer-Assisted Body Composition Reference Values Racial Groups Outpatients Radiography, Abdominal Reproducibility of Results Cross-Sectional Studies Male Middle Aged Humans Tomography, X-Ray Computed Female
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The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Sep 28, 2020
OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder which affects the developmental trajectory in several behavioral domains, including impairments of social communication and stereotyped behavior. Unlike typicall...
Autism Spectrum Disorder Recognition, Psychology Female Reproducibility of Results Humans Male Racial Groups Machine Learning Photic Stimulation Child, Preschool Facial Recognition Child
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On the use of machine learning algorithms in forensic anthropology.

Legal medicine (Tokyo, Japan) Aug 6, 2020
The classification performance of the statistical methods binary logistic regression (BLR), multinomial and penalized multinomial logistic regression (MLR, pMLR), linear discriminant analysis (LDA), and the machine learning algorithms naïve Bayes cla...
Humans Machine Learning Algorithms Female Male Support Vector Machine Discriminant Analysis Forensic Anthropology Pelvis Body Remains Sex Determination by Skeleton Racial Groups Skull
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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 Electrocardiography Follow-Up Studies Heart Ventricles Ethnicity Male Ventricular Function, Left Middle Aged Deep Learning Humans Artificial Intelligence Retrospective Studies Female
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A Multi-Task Framework for Facial Attributes Classification through End-to-End Face Parsing and Deep Convolutional Neural Networks.

Sensors (Basel, Switzerland) Jan 7, 2020
Human face image analysis is an active research area within computer vision. In this paper we propose a framework for face image analysis, addressing three challenging problems of race, age, and gender recognition through face parsing. We manually la...
Algorithms Female Male Deep Learning Humans Neural Networks, Computer Racial Groups Image Processing, Computer-Assisted Age Factors Databases as Topic Face
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A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Journal of medical systems Nov 3, 2018
Skeletal bone age assessment is a widely used standard procedure in both disease detection and growth prediction for children in endocrinology. Conventional manual assessment methods mainly rely on personal experience in observing X-ray images of lef...
Child, Preschool Racial Groups Child Age Factors Infant, Newborn Humans Image Processing, Computer-Assisted Age Determination by Skeleton Wrist Male Neural Networks, Computer Hand Infant Support Vector Machine Algorithms Sex Factors Adolescent Female
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