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Computational approaches for understanding the diagnosis and treatment of Parkinson's disease.
Smith, Stephen L; Lones, Michael A; Bedder, Matthew; Alty, Jane E; Cosgrove, Jeremy; Maguire, Richard J; Pownall, Mary Elizabeth; Ivanoiu, Diana; Lyle, Camille; Cording, Amy; Elliott, Christopher J H.
Affiliation
  • Smith SL; Department of Electronics, University of York, Heslington, York Y010 5DD. stephen.smith@york.ac.uk.
  • Lones MA; School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS.
  • Bedder M; Department of Computer Science, University of York, Heslington, York Y010 5GW.
  • Alty JE; Neurology Department, Leeds Teaching Hospitals NHS Trust, Leeds LS1 3EX.
  • Cosgrove J; Neurology Department, Leeds Teaching Hospitals NHS Trust, Leeds LS1 3EX.
  • Maguire RJ; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN.
  • Pownall ME; Department of Biology, University of York, Heslington, York Y010 5DD.
  • Ivanoiu D; Department of Biology, University of York, Heslington, York Y010 5DD.
  • Lyle C; Department of Biology, University of York, Heslington, York Y010 5DD.
  • Cording A; Department of Biology, University of York, Heslington, York Y010 5DD.
  • Elliott CJ; Department of Biology, University of York, Heslington, York Y010 5DD.
IET Syst Biol ; 9(6): 226-33, 2015 Dec.
Article in En | MEDLINE | ID: mdl-26577157

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Algorithms / Diagnosis, Computer-Assisted / Antiparkinson Agents Type of study: Diagnostic_studies / Prognostic_studies Limits: Animals / Female / Humans / Male Language: En Journal: IET Syst Biol Journal subject: BIOLOGIA / BIOTECNOLOGIA Year: 2015 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Algorithms / Diagnosis, Computer-Assisted / Antiparkinson Agents Type of study: Diagnostic_studies / Prognostic_studies Limits: Animals / Female / Humans / Male Language: En Journal: IET Syst Biol Journal subject: BIOLOGIA / BIOTECNOLOGIA Year: 2015 Document type: Article