A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Michael A. Lones and Jane E. Alty and 
                 Jeremy Cosgrove and Philippa Duggan-Carter and Stuart Jamieson and 
                 Rebecca F. Naylor and Andrew J. Turner and 
                 Stephen L. Smith",
  title =        "A New Evolutionary Algorithm-Based Home Monitoring
                 Device for {Parkinson's Dyskinesia}",
  journal =      "Journal of Medical Systems",
  year =         "2017",
  volume =       "41",
  number =       "11",
  pages =        "176",
  month =        nov,
  keywords =     "genetic algorithms, genetic programming, Parkinsons
                 disease, Dyskinesia, Home monitoring",
  URL =          "https://doi.org/10.1007/s10916-017-0811-7",
  ISSN =         "1573-689X",
  URL =          "http://www.human-competitive.org/sites/default/files/lones-paper.pdf",
  DOI =          "doi:10.1007/s10916-017-0811-7",
  size =         "8 pages",
  abstract =     "Parkinson's disease (PD) is a neurodegenerative
                 movement disorder. Although there is no cure,
                 symptomatic treatments are available and can
                 significantly improve quality of life. The motor, or
                 movement, features of PD are caused by reduced
                 production of the neurotransmitter dopamine. Dopamine
                 deficiency is most often treated using dopamine
                 replacement therapy. However, this therapy can itself
                 lead to further motor abnormalities referred to as
                 dyskinesia. Dyskinesia consists of involuntary jerking
                 movements and muscle spasms, which can often be
                 violent. To minimise dyskinesia, it is necessary to
                 accurately titrate the amount of medication given and
                 monitor a patient's movements. In this paper, we
                 describe a new home monitoring device that allows
                 dyskinesia to be measured as a patient goes about their
                 daily activities, providing information that can assist
                 clinicians when making changes to medication regimens.
                 The device uses a predictive model of dyskinesia that
                 was trained by an evolutionary algorithm, and achieves
                 AUC>0.9 when discriminating clinically significant
  notes =        "2018 HUMIES gold winner.

                 ClearSky Levodopa-induced dyskinesia (LID) Monitor See
                 also doi:10.1016/j.jval.2015.09.682",

Genetic Programming entries for Michael A Lones Jane E Alty Jeremy Cosgrove Philippa Duggan-Carter D R Stuart Jamieson Rebecca Frances Naylor Andrew James Turner Stephen L Smith