Deep multimodal predictome for studying mental disorders
Deep multimodal predictome for studying mental disorders
About this item
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Author / Creator
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Hoboken, USA: John Wiley & Sons, Inc
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Scope and Contents
Contents
Characterizing neuropsychiatric disorders is challenging due to heterogeneity in the population. We propose combining structural and functional neuroimaging and genomic data in a multimodal classification framework to leverage their complementary information. Our objectives are two‐fold (i) to improve the classification of disorders and (ii) to int...
Alternative Titles
Full title
Deep multimodal predictome for studying mental disorders
Authors, Artists and Contributors
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9842924
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9842924
Other Identifiers
ISSN
1065-9471,1097-0193
E-ISSN
1097-0193
DOI
10.1002/hbm.26077