Mathematical modeling for neuropathic pain: bayesian linear regression and self-organizing maps applied to carpal tunnel syndrome

HIGHLIGHTS

  • who: Oscar J. Pellicer-Valero and collaborators from the Department of Psychology, Universidad Rey Juan Carlos, Madrid, Spain have published the article: Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome, in the Journal: (JOURNAL)
  • what: The Bayes method is considered a pragmatic choice, since it naturally allows additional contextual information and, therefore, the models are more precise and restrictive than those obtained with a frequentist approach . To complement the findings of the BLR and to develop further insights into the data, the authors propose the use . . .

     

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