A Binary Classifier Using Fully Connected Neural Network for Alzheimer’s Disease Classification-Reference-Cited by-同舟云学术

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A Binary Classifier Using Fully Connected Neural Network for Alzheimer’s Disease Classification

Published:2022-04-30 Issue:1 Volume:9 Page:21-32
ISSN:2383-7632
Container-title:Journal of Multimedia Information System
language:en
Short-container-title:J Multimed Inf Syst

Author:

Prajapati Rukesh,Kwon Goo-Rak

Funder

Chosun University

National Institutes of Health

Department of Defense

Publisher

Korea Multimedia Society - English Version Journal

Subject

General Medicine

Link

http://www.jmis.org/download/download_pdf?doi=10.33851/JMIS.2022.9.1.21

Reference32 articles.

1. A. S. Schachter and K. L. Davis, “Alzheimer’s disease”, Dialogues in Clinical Neuroscience, vol. 2, no. 2, pp. 91-100, 2000. 10.31887/DCNS.2000.2.2/asschachter 22034442 PMC3181599

2. Z. Longhe, “2020 Alzheimer’s disease facts and figures”, Alzheimer’s & Dementia, vol. 16, no. 3, pp. 391-460, 2020. 10.1002/alz.12068 32157811

3. R. Haque and A. Levey, “Alzheimer’s disease: A clinical perspective and future nonhuman primate research opportunities”, in Proceedings of the National Academy of Sciences. vol. 116, no. 52, pp. 26224-26229, 2019. 10.1073/pnas.1912954116 31871211 PMC6936673

4. I. J. Deary and L. J. Whalley, “Recent research on the causes of Alzheimer’s disease”, BMJ (Clinical research ed.), vol. 297, no. 6652, pp. 807-810, Oct. 1988. 10.1136/bmj.297.6652.807 3140933 PMC1834577

5. M. Silva, C. Loures, L. Alves, L. Cruz de Souza, K. Borges, and M. Carvalho, “Alzheimer’s disease: Risk factors and potentially protective measures”, Journal of Biomedical Science, vol. 26, no. 1, pp. 33, May 2019. 10.1186/s12929-019-0524-y 31072403 PMC6507104

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