Predictive classification of pediatric bipolar disorder using atlas-based diffusion weighted imaging and support vector machines

Lignende værker

• Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning
  af: Wu, Mon-Ju, et al.
  Udgivet: (2016)
• Interaction between BDNF rs6265 met allele and low family cohesion is associated with smaller left hippocampal volume in pediatric bipolar disorder
  af: Zeni, Cristian Patrick, et al.
  Udgivet: (2015)
• Individualized identification of euthymic bipolar disorder using the Cambridge Neuropsychological Test Automated Battery (CANTAB) and machine learning
  af: Wu, Mon-Ju, et al.
  Udgivet: (2015)
• Neurocognitive functioning in individuals with bipolar disorder and their healthy siblings: a preliminary study
  af: Bauer, Isabelle E., et al.
  Udgivet: (2016)
• Brain Gyrification and Neuroprogression in Bipolar Disorder
  af: Cao, Bo, et al.
  Udgivet: (2017)