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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Auteurs principaux: Etay Ziv, Olga Tymofiyeva, Donna M Ferriero, A James Barkovich, Chris P Hess, Duan Xu
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2013
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Accès en ligne:https://doaj.org/article/46aa067d2a7042f69db5a7795c1a8256
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