International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 47 - Issue 3 |
Published: June 2012 |
Authors: Nabil Belmokhtar, Nacéra Benamrane |
![]() |
Nabil Belmokhtar, Nacéra Benamrane . Classification of Alzheimer's Disease from 3D Structural MRI Data. International Journal of Computer Applications. 47, 3 (June 2012), 40-44. DOI=10.5120/7171-9798
@article{ 10.5120/7171-9798, author = { Nabil Belmokhtar,Nacéra Benamrane }, title = { Classification of Alzheimer's Disease from 3D Structural MRI Data }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 47 }, number = { 3 }, pages = { 40-44 }, doi = { 10.5120/7171-9798 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Nabil Belmokhtar %A Nacéra Benamrane %T Classification of Alzheimer's Disease from 3D Structural MRI Data%T %J International Journal of Computer Applications %V 47 %N 3 %P 40-44 %R 10.5120/7171-9798 %I Foundation of Computer Science (FCS), NY, USA
With nearly 100. 000 cases in Algeria, Alzheimer's disease (AD) represents a major public health problem. Therefore, several different automated methods have been developed to assist clinicians in their diagnosis. We propose here a method based on binary support vector machines (SVM) to distinguish between patients with Alzheimer disease (AD), patients with mild cognitive impairment (MCI) and elderly control subjects (CS) from magnetic resonance imaging (MRI) data. In order to reduce the total computation time, we used the JADE (Java Agent DEvelopement Framework) multi-agent platform. The results obtained show the efficiency of our method and the significant advantages of the parallelization.