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Volumetric brain magnetic resonance imaging predicts functioning in bipolar disorder: A machine learning approach by Sartori, Juliana M.; Reckziegel, Ramiro; Passos, Ives Cavalcante; Czepielewski, Leticia S.; Fijtman, Adam; Sodré, Leonardo A.; Massuda, Raffael; Goi, Pedro D.; Vianna-Sulzbach, Miréia; Cardoso, Taiane de Azevedo; Kapczinksi, Flávio; Mwangi, Benson; Gama, Clarissa S. is a Psychology article available to read on EtoBox.

It is typically read by researchers, students, and practitioners in Psychology.

Author
Sartori, Juliana M.; Reckziegel, Ramiro; Passos, Ives Cavalcante; Czepielewski, Leticia S.; Fijtman, Adam; Sodré, Leonardo A.; Massuda, Raffael; Goi, Pedro D.; Vianna-Sulzbach, Miréia; Cardoso, Taiane de Azevedo; Kapczinksi, Flávio; Mwangi, Benson; Gama, Clarissa S.
Publisher
Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0022-3956)
Published
2018
Language
EN
Field
Psychology (Social Sciences)

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Browse all works by Sartori, Juliana M.; Reckziegel, Ramiro; Passos, Ives Cavalcante; Czepielewski, Leticia S.; Fijtman, Adam; Sodré, Leonardo A.; Massuda, Raffael; Goi, Pedro D.; Vianna-Sulzbach, Miréia; Cardoso, Taiane de Azevedo; Kapczinksi, Flávio; Mwangi, Benson; Gama, Clarissa S.