Automated annotation of functional imaging experiments via multi-label classification

Automated annotation of functional imaging experiments via multi-label classification

Identifying the experimental methods in human neuroimaging papers is important for grouping meaningfully similar experiments for meta-analyses. Currently, this can only be done by human readers. We present the performance of common machine learning (text mining) methods applied to the problem of a...

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Bibliographic Details
Main Authors: Matthew D Turner, Chayan eChakrabarti, Thomas B Jones, Jiawei F Xu, Peter T Fox, George F Luger, Angela R Laird, Jessica A Turner
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-12-01
Series:Frontiers in Neuroscience
Subjects:
Data Mining
Neuroimaging
bioinformatics
text mining
CogPO
multi-label classification
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00240/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00240/full

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