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Machine learning prediction of motor response after deep brain stimulation in Parkinson's disease-proof of principle in a retrospective cohort.
Habets, Jeroen G V; Janssen, Marcus L F; Duits, Annelien A; Sijben, Laura C J; Mulders, Anne E P; De Greef, Bianca; Temel, Yasin; Kuijf, Mark L; Kubben, Pieter L; Herff, Christian.
Afiliação
  • Habets JGV; Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
  • Janssen MLF; Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
  • Duits AA; Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Sijben LCJ; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Mulders AEP; Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands.
  • De Greef B; Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
  • Temel Y; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Kuijf ML; Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Kubben PL; Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University Medical Center, Maastricht, The Netherlands.
  • Herff C; Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
PeerJ ; 8: e10317, 2020.
Article em En | MEDLINE | ID: mdl-33240642
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article