Alzheimer's disease risk assessment using large-scale machine learning methods.
The goal of this work is to introduce new metrics to assess risk of Alzheimer's disease (AD) which we call AD Pattern Similarity (AD-PS) scores. These metrics are the conditional probabilities modeled by large-scale regularized logistic regression. The AD-PS scores derived from structural MRI a...
Main Authors: | Ramon Casanova, Fang-Chi Hsu, Kaycee M Sink, Stephen R Rapp, Jeff D Williamson, Susan M Resnick, Mark A Espeland, Alzheimer's Disease Neuroimaging Initiative |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3826736?pdf=render |
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