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Title

پیش بینی بیماری آلزایمر با استفاده از الگوریتم های انتخاب ویژگی محاسبات نرم و بر پایه rs-fMRI و sMRI

Year: 1398
COI: JR_TJEE-49-2_008
Language: EnglishView: 320
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با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 13 صفحه است به صورت فایل PDF در اختیار داشته باشید.
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Authors

S. H. Hojjati - Department of Electrical Engineering, Babol University of Technology, Babol, Iran
A. Ebrahimzadeh - Department of Electrical Engineering, Babol University of Technology, Babol, Iran
A. Khazaee - Department of Electrical Engineering, University of Bojnord, Bojnord, Iran
A. Babajani-Feremi - Department of Pediatrics, Division of Clinical Neurosciences, University of Tennessee Health Science Center, Memphis, TN, USA

Abstract:

Alzheimer’s disease (AD), a progressive, irreversible neurodegenerative disorder, occurs most frequently in older adults and gradually destroys regions of the brain that are responsible for memory, thinking, learning, and behavior. In this paper, AD prediction is investigated based on rs-fMRI and sMRI analysis. Three feature selection algorithms based on soft computing method has been proposed to classify MCI-C from MCI-NC through training SVM. This is the first study used to integrate rs-fMRI and sMRI for AD prediction. The results refer to the significant brain areas (functional and structural) impaired in AD. Furthermore, NBS method on brain functional parcellations has been utilized for separating MCI-C from MCI-NC and detecting the discriminative ability networks for AD prediction. 

Keywords:

Paper COI Code

This Paper COI Code is JR_TJEE-49-2_008. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/966357/

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Hojjati, S. H. and Ebrahimzadeh, A. and Khazaee, A. and Babajani-Feremi, A.,1398,پیش بینی بیماری آلزایمر با استفاده از الگوریتم های انتخاب ویژگی محاسبات نرم و بر پایه rs-fMRI و sMRI,https://civilica.com/doc/966357

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