High dimensional classification of structural MRI Alzheimer’s disease data based on large scale regularization

High dimensional classification of structural MRI Alzheimer’s disease data based on large scale regularization

In this work we use a large scale regularization approach based on penalized logistic regression to automatically classify structural MRI images (sMRI) according to cognitive status. Its performance is illustrated using sMRI data from the Alzheimer Disease Neuroimaging Initiative (ADNI) clinical dat...

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Bibliographic Details
Main Authors: Ramon eCasanova, Benjamin eWagner, Christopher T. Whitlow, Jeff D. Williamson, Sally A. Shumaker, Joseph A. Maldjian, Mark A Espeland
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-10-01
Series:Frontiers in Neuroinformatics
Subjects:
machine learning
Logistic regression
ADNI
curse of dimensionality
elastic net
GLMNET
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00022/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00022/full

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