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Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.
Zhan, Andong; Mohan, Srihari; Tarolli, Christopher; Schneider, Ruth B; Adams, Jamie L; Sharma, Saloni; Elson, Molly J; Spear, Kelsey L; Glidden, Alistair M; Little, Max A; Terzis, Andreas; Dorsey, E Ray; Saria, Suchi.
Afiliação
  • Zhan A; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
  • Mohan S; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
  • Tarolli C; Department of Neurology, University of Rochester Medical Center, Rochester, New York.
  • Schneider RB; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Adams JL; Department of Neurology, University of Rochester Medical Center, Rochester, New York.
  • Sharma S; Department of Neurology, University of Rochester Medical Center, Rochester, New York.
  • Elson MJ; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Spear KL; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Glidden AM; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Little MA; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Terzis A; Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Dorsey ER; Department of Mathematics, Aston University, Birmingham, England.
  • Saria S; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
JAMA Neurol ; 75(7): 876-880, 2018 07 01.
Article em En | MEDLINE | ID: mdl-29582075
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Aplicativos Móveis / Aprendizado de Máquina / Smartphone Tipo de estudo: Diagnostic_studies / Observational_studies Aspecto: Patient_preference Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JAMA Neurol Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Aplicativos Móveis / Aprendizado de Máquina / Smartphone Tipo de estudo: Diagnostic_studies / Observational_studies Aspecto: Patient_preference Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JAMA Neurol Ano de publicação: 2018 Tipo de documento: Article