Classification of Alzheimer’s Disease Using Maximal Information Coefficient-Based Functional Connectivity with an Extreme Learning Machine

Classification of Alzheimer’s Disease Using Maximal Information Coefficient-Based Functional Connectivity with an Extreme Learning Machine

Alzheimer’s disease (AD) is a progressive chronic illness that leads to cognitive decline and dementia. Neuroimaging technologies, such as functional magnetic resonance imaging (fMRI), and deep learning approaches offer promising avenues for AD classification. In this study, we investigate the use o...

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Bibliographic Details
Main Authors: Nishant Chauhan, Byung-Jae Choi
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Brain Sciences
Subjects:
functional connectivity
fMRI
alzheimer’s disease
pearson correlation
maximal information coefficient
machine learning
Online Access:https://www.mdpi.com/2076-3425/13/7/1046

Internet

https://www.mdpi.com/2076-3425/13/7/1046

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