A machine learning approach to automated structural network analysis: application to neonatal encephalopathy.
Neonatal encephalopathy represents a heterogeneous group of conditions associated with life-long developmental disabilities and neurological deficits. Clinical measures and current anatomic brain imaging remain inadequate predictors of outcome in children with neonatal encephalopathy. Some studies h...
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Main Authors: | Etay Ziv, Olga Tymofiyeva, Donna M Ferriero, A James Barkovich, Chris P Hess, Duan Xu |
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Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2013
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Online Access: | https://doaj.org/article/46aa067d2a7042f69db5a7795c1a8256 |
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