Maximum mutual information for feature extraction from graph-structured data: Application to Alzheimer’s disease classification-Reference-Cited by-同舟云学术

Maximum mutual information for feature extraction from graph-structured data: Application to Alzheimer’s disease classification

Published:2022-05-03 Issue:2 Volume:53 Page:1870-1886
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Yang Jiawei,Wang Shaoping,Wu Teresa

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03528-x.pdf

Reference54 articles.

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2. Alzheimer’s Association (2020) 2020 Alzheimer’s disease facts and figures. Alzheimer’s & Dementia 16(3):391–460. https://doi.org/10.1002/alz.12068

3. U.S. Department of Health and Human Services Centers for Disease Control and Prevention & National Center for Health Statistics (2020) CDC WONDER online database: About Underlying Cause of Death, 1999-2018. https://wonder.cdc.gov/ucd-icd10.html

4. Zhang Q et al (2018) Integrated proteomics and network analysis identifies protein hubs and network alterations in Alzheimer’s disease. Acta Neuropathologica Communications 6:19. https://doi.org/10.1186/s40478-018-0524-2

5. Dai Z et al (2015) Identifying and mapping connectivity patterns of brain network hubs in alzheimer’s disease. Cereb Cortex 25:3723–3742. https://doi.org/10.1093/cercor/bhu246

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