AIMC Topic: Black or African American

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Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic Biobank.

The American journal of cardiology Dec 18, 2020
Humans Machine Learning Electronic Health Records Case-Control Studies Incidence Black or African American Prealbumin Cardiomyopathies Penetrance Amyloid Neuropathies, Familial Clinical Decision Rules ROC Curve Area Under Curve Mutation Hispanic or Latino Heart Failure Biological Specimen Banks
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A deep learning system for differential diagnosis of skin diseases.

Nature medicine May 18, 2020
Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential diagnosis of sk...
Folliculitis Diagnosis, Differential Asian Dermatologists Adult Humans Photography Physicians, Primary Care Skin Diseases Female Male Nurse Practitioners Hispanic or Latino Alaska Natives Melanoma Middle Aged Keratosis, Seborrheic Telemedicine Native Hawaiian or Pacific Islander Deep Learning Warts White People Black or African American Indians, North American Dermatitis, Seborrheic Eczema Psoriasis Acne Vulgaris Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell
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Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients.

Clinical cancer research : an official journal of the American Association for Cancer Research Mar 5, 2020
PURPOSE: Between 30%-40% of patients with prostate cancer experience disease recurrence following radical prostatectomy. Existing clinical models for recurrence risk prediction do not account for population-based variation in the tumor phenotype, des...
Machine Learning Prognosis Survival Rate Biomarkers, Tumor Male Middle Aged Humans Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Recurrence, Local Stromal Cells Black or African American Prostatectomy Risk Assessment Disease Progression ROC Curve Image Processing, Computer-Assisted Nomograms Predictive Value of Tests
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Salivary microRNAs identified by small RNA sequencing and machine learning as potential biomarkers of alcohol dependence.

Epigenomics May 29, 2019
Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). The miRNA transcriptome in the saliva of 56 African-Americans (AAs; 28 AD patients/28 controls) and 64 European-Americans (EAs; 32 AD patients/32 controls) was profiled ...
Saliva White People Gene Expression Regulation Alcoholism Black or African American Humans Machine Learning Biomarkers Female Adult Male Middle Aged Case-Control Studies Sequence Analysis, RNA MicroRNAs
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Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure.

American journal of men's health Nov 28, 2018
Heart failure (HF) is responsible for more 30-day readmissions than any other condition. Minorities, particularly African American males (AAM), are at much higher risk for readmission than the general population. In this study, demographic, social, a...
Georgia Pharmacists Incidence Predictive Value of Tests Heart Failure Patient Readmission Academic Medical Centers Black or African American Humans Adult Machine Learning Male Prognosis Middle Aged Electronic Health Records Risk Assessment Hospitalization Case-Control Studies Aged
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Disparities in the Treatment and Outcome of Stage I Non-Small-Cell Lung Cancer in the 21st Century.

Clinical lung cancer Nov 20, 2018
BACKGROUND: African American (AA) individuals are less likely to receive treatment and more likely to die from cancer compared with Caucasian (C) individuals. Recent advancements in surgery and radiation have improved outcomes in early stage non-smal...
Carcinoma, Non-Small-Cell Lung Male Humans Neoplasm Staging Middle Aged Female Healthcare Disparities Lung Neoplasms Risk Factors Survival Analysis United States Aged History, 21st Century Treatment Outcome Aged, 80 and over Indians, North American Black or African American
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Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

IEEE/ACM transactions on computational biology and bioinformatics Sep 3, 2018
Genome-Wide Association Studies (GWAS) are used to identify statistically significant genetic variants in case-control studies. The main objective is to find single nucleotide polymorphisms (SNPs) that influence a particular phenotype (i.e., disease ...
Deep Learning Genome-Wide Association Study Polymorphism, Single Nucleotide Computational Biology Black or African American Epistasis, Genetic Humans Algorithms Pregnancy Female Infant, Newborn Premature Birth
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Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.

Annals of epidemiology Aug 24, 2018
PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, occurring disproportionately among non-Hispanic black women compared to other race-ethnicities. Clinicians lack tools to identify first-time mothers at...
Humans Machine Learning Retrospective Studies Pregnancy Female Premature Birth Parity ROC Curve Predictive Value of Tests White People Gestational Age California Black or African American Birth Certificates
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Vitamin D Deficiency and Atopic Dermatitis: Consider Disease, Race, and Body Mass.

Skinmed Dec 1, 2017
Vitamin D deficiency causes rickets, but has been associated with various diseases, including atopic dermatitis (AD). This study analyzes serum vitamin D in pediatric medical center patients with AD and potential confounding factors. At Cardinal Glen...
United States Black or African American Humans Body Mass Index Infant Retrospective Studies Racial Groups Vitamin D Prevalence Female Dermatitis, Atopic Vitamin D Deficiency Severity of Illness Index Infant, Newborn Asian Cystic Fibrosis Adolescent Young Adult Skin Pigmentation White People Child, Preschool Male Child
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Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.

PloS one Oct 11, 2016
Statistical models to predict incident diabetes are often based on limited variables. Here we pursued two main goals: 1) investigate the relative performance of a machine learning method such as Random Forests (RF) for detecting incident diabetes in ...
Adiponectin Triglycerides Black or African American Demography C-Reactive Protein Glycated Hemoglobin Leptin Waist Circumference Middle Aged Cholesterol, HDL Blood Glucose Anthropometry Incidence Machine Learning Diabetes Mellitus, Type 2 Humans Biomarkers Models, Theoretical Female Follow-Up Studies Aged Adult Male
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