Distinguishing Parkinson’s disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks

Distinguishing Parkinson’s disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks

Differentiating between Parkinson's disease (PD) and atypical parkinsonian syndromes (APS) is still a challenge, specially at early stages when the patients show similar symptoms. During last years, several computer systems have been proposed in order to improve the diagnosis of PD, but their a...

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Bibliographic Details
Main Authors: Fermín eSegovia, Ignacio Alvarez Illan, Juan Manuel Gorriz, Javier eRamírez, Axel eRominger, Johannes eLevin
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-11-01
Series:Frontiers in Computational Neuroscience
Subjects:
Parkinson's disease
Bayesian network
multivariate analysis
Support vector machine
18F-DMFP PET
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00137/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00137/full

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