Early detection of alzheimer's disease based on clinical trials, three-dimensional imaging data, and personal information using autoencoders

Early detection of alzheimer's disease based on clinical trials, three-dimensional imaging data, and personal information using autoencoders

Background: A timely diagnosis of Alzheimer's disease (AD) is crucial to obtain more practical treatments. In this article, a novel approach using Auto-Encoder Neural Networks (AENN) for early detection of AD was proposed. Method: The proposed method mainly deals with the classification of mult...

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Bibliographic Details
Main Authors: Hamid Akramifard, Mohammad Ali Balafar, Seyed Naser Razavi, Abd Rahman Ramli
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
alzheimer's disease
autoencoders
cerebrospinal fluid
early detection
magnetic resonance imaging
mini-mental state examination
missing data
positron emission tomographys
Online Access:http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2021;volume=11;issue=2;spage=120;epage=130;aulast=Akramifard

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http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2021;volume=11;issue=2;spage=120;epage=130;aulast=Akramifard

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