Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification.
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ABSTRACT:
SUBMITTER: van Loon W
PROVIDER: S-EPMC9082949 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Publications
Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification.
van Loon Wouter W de Vos Frank F Fokkema Marjolein M Szabo Botond B Koini Marisa M Schmidt Reinhold R de Rooij Mark M
Frontiers in neuroscience 20220425
Multi-view data refers to a setting where features are divided into feature sets, for example because they correspond to different sources. Stacked penalized logistic regression (StaPLR) is a recently introduced method that can be used for classification and automatically selecting the views that are most important for prediction. We introduce an extension of this method to a setting where the data has a hierarchical multi-view structure. We also introduce a new view importance measure for StaPL ...[more]
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