Characterisation of movement disorder in parkinson's disease using evolutionary algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Lacy:2013:GECCOcomp,
  author =       "Stuart E. Lacy and Michael A. Lones and 
                 Stephen L. Smith and Jane E. Alty and D. R. Stuart Jamieson and 
                 Katherine L. Possin and Norbert Schuff",
  title =        "Characterisation of movement disorder in parkinson's
                 disease using evolutionary algorithms",
  booktitle =    "GECCO '13 Companion: Proceeding of the fifteenth
                 annual conference companion on Genetic and evolutionary
                 computation conference companion",
  year =         "2013",
  editor =       "Christian Blum and Enrique Alba and 
                 Thomas Bartz-Beielstein and Daniele Loiacono and 
                 Francisco Luna and Joern Mehnen and Gabriela Ochoa and 
                 Mike Preuss and Emilia Tantar and Leonardo Vanneschi and 
                 Kent McClymont and Ed Keedwell and Emma Hart and 
                 Kevin Sim and Steven Gustafson and 
                 Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and 
                 Nikolaus Hansen and Olaf Mersmann and Petr Posik and 
                 Heike Trautmann and Muhammad Iqbal and Kamran Shafi and 
                 Ryan Urbanowicz and Stefan Wagner and 
                 Michael Affenzeller and David Walker and Richard Everson and 
                 Jonathan Fieldsend and Forrest Stonedahl and 
                 William Rand and Stephen L. Smith and Stefano Cagnoni and 
                 Robert M. Patton and Gisele L. Pappa and 
                 John Woodward and Jerry Swan and Krzysztof Krawiec and 
                 Alexandru-Adrian Tantar and Peter A. N. Bosman and 
                 Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and 
                 David L. Gonzalez-Alvarez and 
                 Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and 
                 Kenneth Holladay and Tea Tusar and Boris Naujoks",
  isbn13 =       "978-1-4503-1964-5",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "1479--1486",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2464576.2482726",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Parkinson's Disease is a devastating illness with no
                 currently available cure. As the population ages, the
                 disease becomes more common with a large financial cost
                 to society. A rapid and accurate diagnosis, as well as
                 practical monitoring methods are essential for managing
                 the disease as best as possible. This paper discusses
                 two approaches to discriminating movement data between
                 healthy controls or Parkinson's Disease patients. One
                 is a standard statistical analysis, influenced by prior
                 work into classifying patients. The other is a
                 programmatic expression evolved using genetic
                 programming, which is trained to observe differences in
                 specific motion segments, rather than using arbitrary
                 windows of a full data series. The performance of the
                 statistical analysis method is relatively high, but it
                 still cannot discriminate as well as the evolved
                 classifier. This study compares favourably to previous
                 work, highlighting the usefulness of analysing a
                 successful classifier to influence design decisions for
                 future work. Examination of the evolved programmatic
                 expressions that had high discriminatory ability
                 provided useful insight into how Parkinson's Disease
                 patients and healthy subjects have differing movement
                 characteristics. This could be used to inform future
                 research into the physiology of repetitive motions in
                 Parkinson's Disease patients.",
  notes =        "Also known as \cite{2482726} Distributed at
                 GECCO-2013.",
}

Genetic Programming entries for Stuart E Lacy Michael A Lones Stephen L Smith Jane E Alty D R Stuart Jamieson Katherine L Possin Norbert Schuff

Citations