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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Public Health Genomics Branch
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: May 08, 2024
. (Total: 63790 Documents since 2012)
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Records 1 - 16 (of 16 Records)
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Development and validation of machine learning models to predict frailty risk for elderly.
Wei Zhang et al. J Adv Nurs 2024
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Interpretable prediction models for disability in older adults with hypertension: the Chinese Longitudinal Healthy Longevity and Happy Family Study.
Yafei Wu et al. Psychogeriatrics 2024
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Predicting mild cognitive impairment among Chinese older adults: a longitudinal study based on long short-term memory networks and machine learning.
Yucheng Huang et al. Front Aging Neurosci 2023 151283243
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Latent trajectories of frailty and risk prediction models among geriatric community dwellers: an interpretable machine learning perspective.
Wu Yafei et al. BMC geriatrics 2022 22(1) 900
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Machine learning-based prediction of disability risk in geriatric patients with hypertension for different time intervals.
Xiang Chaoyi et al. Archives of gerontology and geriatrics 2022 105104835
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Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approaches.
Su Dai et al. Frontiers in public health 2022 10998549
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Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people.
Wang Shuojia et al. Frontiers in aging neuroscience 2022 14977034
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Interpretable classifiers for prediction of disability trajectories using a nationwide longitudinal database.
Wu Yafei et al. BMC geriatrics 2022 22(1) 627
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Novel Artificial Intelligence Applications in Cardiology: Current Landscape, Limitations, and the Road to Real-World Applications.
Langlais Élodie Labrecque et al. Journal of cardiovascular translational research 2022
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A Risk Prediction Model Based on Machine Learning for Cognitive Impairment Among Chinese Community-Dwelling Elderly People With Normal Cognition: Development and Validation Study.
Hu Mingyue et al. Journal of medical Internet research 2021 23(2) e20298
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Use of machine learning approach to predict depression in the elderly in China: A longitudinal study.
Su Dai et al. Journal of affective disorders 2020 Dec 282289-298
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Logistic Regression Model in a Machine Learning Application to Predict Elderly Kidney Transplant Recipients with Worse Renal Function One Year after Kidney Transplant: Elderly KTbot.
Elihimas Júnior Ubiracé Fernando et al. Journal of aging research 2020 20207413616
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Deep Aging Clocks: The Emergence of AI-Based Biomarkers of Aging and Longevity.
Zhavoronkov Alex, et al. Trends in pharmacological sciences 2019 8 0. (8) 546-549
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AI Based Predictors of Aging and Longevity Are on the Rise
Genetic Engineering and Biotechnology News, July 5, 2019
Your Zip Code Could Affect Your Lifespan. These Maps Show How
J Ducharme et al, Time, June 17, 2019
Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.
Attia Zachi I et al. Nature medicine 2019 25(1) 70-74
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 08, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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