A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI

Volume: 503, Pages: 670 - 687
Published: Nov 1, 2019
Abstract
Individuals diagnosed with mild cognitive impairment (MCI) are at a high risk of transition to Alzheimer's disease (AD), but a diagnosis of MCI is challenging. Resting-state functional magnetic resonance imaging (rs-fMRI) is a promising tool for identifying patients with MCI, but an accurate and robust analysis method is needed to extract discriminative rs-fMRI features for classification between MCI patients and healthy people. In this paper, a...
Paper Details
Title
A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI
Published Date
Nov 1, 2019
Volume
503
Pages
670 - 687
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