Search Results - Race correction*

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  1. 1

    Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

    Published 2025-07-01

    Laura J Horsfall, Paulina Bondaronek, Julia Ive, Shoba Poduval Institute of Health Informatics, University College London, London, UKCorrespondence: Laura J Horsfall, Email laura.horsfall@ucl.ac.ukAbstract: Clinical algorithms are widely used tools for predicting, diagnosing, and managing diseases....

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  2. 2

    Individualization of training process as a leading construction of skiers’ training component in preparation for higher achievements by L.A. Vorfolomeeva

    Published 2013-08-01

    The aim was to improve the process of preparation of skiers in preparation for higher achievements. It is spotted urgency of introduction of individualization in the training process, the principles and directions of realization. It is offered individualized relationship seen as consistent instructi...

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  3. 3

    Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution by Norah A. Al-Johany, Fathy E. Eassa, Sanaa A. Sharaf, Eynas H. Balkhair, Sara M. Assiri

    Published 2025-01-01

    Concurrency defects such as race conditions, deadlocks, and improper synchronization remain a critical challenge in developing reliable OpenMP-based parallel applications. Traditional static analysis tools often focus only on defect detection, offering limited or no automated correction capabilities...

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  4. 4

    Identifying a Biological Signature of Trauma-Related Neurodegeneration Following Repeated Traumatic Brain Injuries Compared with Healthy Controls by Shawn R. Eagle, Ava Puccio, Sarah Svirsky, James Mountz, Charles Laymon, Allison Borasso, Luke Henry, David O. Okonkwo

    Published 2025-01-01

    The objective of this study was to compare participants at-risk for trauma-related neurodegeneration to a healthy control group on outcomes associated with Alzheimer’s disease (AD), such as subjective symptoms, neurocognitive performance, plasma biomarkers, volumetrics, amyloid-beta (Aβ) positron em...

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  5. 5

    Metabolic syndrome: Epidemiology, diagnostic criteria, racial characteristics by N. I. Vilson, L. V. Belenkaya, L. F. Sholokhov, I. A. Igumnov, Ya. G. Nadelyaeva, L. V. Suturina

    Published 2021-10-01

    Metabolic syndrome (MS) is a very serious pathological condition that occurs in the clinical practice of doctors of various specialties. Often, the presence of MS aggravates the course of comorbidities, while various diseases can serve as a risk factor for its development. The significant prevalence...

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  6. 6

    Sex differences in the association of cardiometabolic risk scores and blood pressure measurements with white matter hyperintensities in diverse older adults—HABS-HD by Cellas A. Hayes, Raul Vintimilla, Soumilee Chaudhuri, Soumilee Chaudhuri, Michelle C. Odden

    Published 2025-08-01

    IntroductionWe aimed to determine whether cardiometabolic risk factors and blood-pressure (BP) metrics were differentially associated with white matter hyperintensities volume (WMHV) in males versus females in the Health and Aging Brain Study–Health Disparities.MethodsWe analyzed 3,585 community-dwe...

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    “…No sex interactions survived correction.DiscussionThese findings underscore the importance of aggressive cardiometabolic and BP control, particularly diastolic BP, to mitigate WMHV in both sexes.…”
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  7. 7

    A comparison of family health history of breast cancer, colorectal cancer, and diabetes in self-reported survey and electronic health records data, All of Us Research Program by Ridgely Fisk Green, Ramal Moonesinghe, Sun Hee Rim, Katherine Kolor, Danielle Rasooly, Kevin Littrell, Scott Bowen, W. David Dotson, Muin J. Khoury

    Published 2025-01-01

    Purpose: We used data from the All of Us Research Program to examine sociodemographic differences in family health history (FHH) survey access, availability of electronic health records (EHR) data, FHH knowledge, FHH in the survey and EHR data, and concordance of FHH in survey and EHR data for breas...

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  8. 8

    THE INFLUENCE OF DYNAMIC AND STATIC PHYSICAL EXERCISES ON THE PARAMETERS OF INTRACARDIAC HEMODYNAMICS AND PHYSICAL ENDURANCE IN HIGHER-LEVEL SPORTSMEN by N. P. Garganeeva, I. F. Taminova, L. I. Tyukalova, I. N. Vorozhtsova, I. L. Bukhovets, E. N. Pashkova

    Published 2015-10-01

    Aim. To assess the influence of dynamic and static exercises on the parameters of intracardiac hemodynamics and physical endurance in higher-level sportsmen.Material and methods. Totally, 136 sportsmen studied all males. Higher- level (qualified) sportsmen (groups of sports perfection and higher spo...

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  9. 9

    THE STATE OF HEALTH OF CHILDREN, SYSTEMATICALLY ENGAGED IN SPORTS by A. S. Babikova, G. M. Nasybullina

    Published 2013-05-01

    Physical training and sport encourage the growth and development processes in optimal way The main aim of sport in this period of mass character is children's health promotion. The 3-year prospective investigations of preventive examinations results were conducted in 1210 athletes, engaged in s...

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  10. 10

    Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese population by Yanying Wu, Yanying Wu, Yanying Wu, Yuxuan Zhang, Yuxuan Zhang, Yuxuan Zhang, Xin Liu, Xin Liu, Xin Liu, Jia Liu, Jia Liu, Jia Liu, Zhaotao He, Zhaotao He, Zhaotao He, Yue Wei, Qiaoli Zeng, Qiaoli Zeng, Qiaoli Zeng, Runmin Guo, Runmin Guo, Runmin Guo

    Published 2025-07-01

    IntroductionThe potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene is recognized as a type 2 diabetes mellitus (T2DM) susceptibility gene. However, there is limited data regarding the association between KCNQ1 gene polymorphisms and gestational diabetes mellitus (GDM) susceptibility i...

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