A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease-Reference-Cited by-同舟云学术

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A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease

Published:2015-01-21 Issue:1 Volume:12 Page:016018
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Gallego-Jutglà Esteve,Solé-Casals Jordi,Vialatte François-Benoît,Elgendi Mohamed,Cichocki Andrzej,Dauwels Justin

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://stacks.iop.org/1741-2552/12/i=1/a=016018/pdf

Reference43 articles.

1. 2013 Alzheimer's disease facts and figures

2. Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

3. Mild Cognitive Impairment

4. The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception

5. EEG dynamics in patients with Alzheimer's disease

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3. Electroencephalography-based classification of Alzheimer’s disease spectrum during computer-based cognitive testing;Scientific Reports;2024-03-04

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