Genetic Basis of Alzheimer’s Disease and Its Possible Treatments Based on Big Data
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Final Accepted Manuscript
Author
Zhang, ChenyuAffiliation
University of Arizona, College of ScienceIssue Date
2020-08
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IEEECitation
Zhang, C. (2020). Genetic Basis of Alzheimer’s Disease and Its Possible Treatments Based on Big Data. Proceedings - 2020 International Conference on Big Data and Social Sciences, ICBDSS 2020, 10–14.Rights
© 2020 IEEE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
This article is about the genetic basis which causes Alzheimer's disease, and big data which is related to Alzheimer's disease, focusing on which gene and how it can cause Alzheimer's disease and the ways to use big data to try to Figure out the treatments for Alzheimer's disease. In addition, the article adopts the general idea about how to use big data to help researchers Figure out a better way about the treatment for Alzheimer's disease the present study shows that the more APOE \varepsilon 4 exists, the more possibility of getting Alzheimer's disease the main contribution of the paper is focusing on the genetic basis of Alzheimer's disease as well as giving a general idea of how to use big data to help find the treatment for Alzheimer's disease. © 2020 IEEE.Note
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Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1109/icbdss51270.2020.00010