Diagnosis of Parkinson's disease using evolutionary algorithms

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@Article{Smith:2007:GPEM,
  author =       "Stephen L. Smith and Patrick Gaughan and 
                 David M. Halliday and Quan Ju and Nabil M. Aly and 
                 Jeremy R. Playfer",
  title =        "Diagnosis of Parkinson's disease using evolutionary
                 algorithms",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2007",
  volume =       "8",
  number =       "4",
  pages =        "433--447",
  month =        dec,
  note =         "special issue on medical applications of Genetic and
                 Evolutionary Computation",
  keywords =     "genetic algorithms, genetic programming, Parkinson's
                 disease, Evolutionary algorithms, Cartesian genetic
                 programming",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-007-9043-9",
  abstract =     "This paper describes the novel application of an
                 evolutionary algorithm to discriminate Parkinson's
                 patients from age-matched controls in their response to
                 simple figure-copying tasks. The reliable diagnosis of
                 Parkinson's disease is notoriously difficult to achieve
                 with misdiagnosis reported to be as high as 25percent
                 of cases. The approach described in this paper aims to
                 distinguish between the velocity profiles of pen
                 movements of patients and controls to identify
                 distinguishing artifacts that may be indicative of the
                 Parkinson's symptom bradykinesia. Results are presented
                 for 12 patients with Parkinson's disease and 10
                 age-match controls. An algorithm was evolved using half
                 the patient and age-matched control responses, which
                 was then successfully used to correctly classify the
                 remaining responses. A more rigorous leave one out
                 strategy was also applied to the test data with
                 encouraging results.",
  notes =        "Wacom digitising tablet, CGP",
}

Genetic Programming entries for Stephen L Smith Patrick Gaughan David M Halliday Quan Ju Nabil M Aly Jeremy R Playfer

Citations