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 aut...

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Detalles Bibliográficos
Autores principales: Turner, Matthew D., Chakrabarti, Chayan, Jones, Thomas B., Xu, Jiawei F., Fox, Peter T., Luger, George F., Laird, Angela R., Turner, Jessica A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3864256/
https://www.ncbi.nlm.nih.gov/pubmed/24409112
http://dx.doi.org/10.3389/fnins.2013.00240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3864256/
https://www.ncbi.nlm.nih.gov/pubmed/24409112
http://dx.doi.org/10.3389/fnins.2013.00240

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