Using Machine Learning to Study the Effects of Genetic Predisposition on Brain Aging in the UK Biobank-Reference-Cited by-同舟云学术

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Using Machine Learning to Study the Effects of Genetic Predisposition on Brain Aging in the UK Biobank

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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Author:

Ardila Karen¹,Munro Emily²,Vega Fernando³,Mohite Aashka³,Curtis Charlotte⁴,Tyndall Amanda V.⁵,Ethan MacDonald M.³

Affiliation:

1. Universidad Autónoma de Manizales,Department of Electronic and Automation, Biomedical Engineering,Manizales,Colombia

2. University of Calgary,Department of Chemical Engineering,Calgary,Canada

3. University of Calgary,Department of Biomedical Engineering,Calgary,Canada

4. University of Calgary,Department of Electrical & Software Engineering,Calgary,Canada

5. University of Calgary,Department of Medical Genetics,Calgary,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230714.pdf?arnumber=10230714

Reference41 articles.

1. The Impact of Population Aging and Public Health Support on EU Labor Markets

2. Morphometry of the human hippocampus from MRI and conventional MRI high field;gerardin,2012

3. Comparison of the Measurement of Long-Term Care Costs between China and Other Countries: A Systematic Review of the Last Decade;zeng;HealthcarePapers,2020

4. MRI of healthy brain aging: A review

5. The interplay of aging, genetics and environmental factors in the pathogenesis of Parkinson’s disease

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