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Deep Phenotyping of Parkinson's Disease.
Dorsey, E Ray; Omberg, Larsson; Waddell, Emma; Adams, Jamie L; Adams, Roy; Ali, Mohammad Rafayet; Amodeo, Katherine; Arky, Abigail; Augustine, Erika F; Dinesh, Karthik; Hoque, Mohammed Ehsan; Glidden, Alistair M; Jensen-Roberts, Stella; Kabelac, Zachary; Katabi, Dina; Kieburtz, Karl; Kinel, Daniel R; Little, Max A; Lizarraga, Karlo J; Myers, Taylor; Riggare, Sara; Rosero, Spencer Z; Saria, Suchi; Schifitto, Giovanni; Schneider, Ruth B; Sharma, Gaurav; Shoulson, Ira; Stevenson, E Anna; Tarolli, Christopher G; Luo, Jiebo; McDermott, Michael P.
Afiliación
  • Dorsey ER; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Omberg L; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Waddell E; Sage Bionetworks, Seattle, WA, USA.
  • Adams JL; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Adams R; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Ali MR; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Amodeo K; Machine Learning, AI and Healthcare Lab, Johns Hopkins University, Baltimore, MD, USA.
  • Arky A; Department of Computer Science, University of Rochester, Rochester, NY, USA.
  • Augustine EF; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Dinesh K; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Hoque ME; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Glidden AM; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Jensen-Roberts S; Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA.
  • Kabelac Z; Department of Computer Science, University of Rochester, Rochester, NY, USA.
  • Katabi D; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Kieburtz K; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Kinel DR; Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Little MA; Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Lizarraga KJ; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Myers T; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Riggare S; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Rosero SZ; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Saria S; School of Computer Science, University of Birmingham, UK.
  • Schifitto G; Massachusetts Institute of Technology, MA, USA.
  • Schneider RB; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Sharma G; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Shoulson I; Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
  • Stevenson EA; Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
  • Tarolli CG; Department of Medicine, University of Rochester, Rochester, NY, USA.
  • Luo J; Machine Learning, AI and Healthcare Lab, Johns Hopkins University, Baltimore, MD, USA.
  • McDermott MP; Department of Computer Science, Statistics, and Health Policy, Johns Hopkins University, MD, USA.
J Parkinsons Dis ; 10(3): 855-873, 2020.
Article en En | MEDLINE | ID: mdl-32444562
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Fenotipo / Marcha Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Parkinsons Dis Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Fenotipo / Marcha Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Parkinsons Dis Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos