Medical Applications of Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Stephen L. Smith and Michael A. Lones",
  title =        "Medical Applications of Cartesian Genetic
  booktitle =    "Inspired by Nature: Essays Presented to Julian F.
                 Miller on the Occasion of his 60th Birthday",
  publisher =    "Springer",
  year =         "2017",
  editor =       "Susan Stepney and Andrew Adamatzky",
  volume =       "28",
  series =       "Emergence, Complexity and Computation",
  chapter =      "12",
  pages =        "247--266",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  isbn13 =       "978-3-319-67996-9",
  DOI =          "doi:10.1007/978-3-319-67997-6_12",
  abstract =     "The application of machine learning techniques to
                 problems in medicine are now becoming widespread, but
                 the rational and advantages of using a particular
                 approach is not always clear or justified. This chapter
                 describes the application of a version of Cartesian
                 Genetic Programming (CGP), termed Implicit Context
                 Representation CGP, to two very different medical
                 applications: diagnosis and monitoring of Parkinson's
                 disease, and the differential diagnosis of thyroid
                 cancer. Importantly, the use of CGP brings two major
                 benefits: one is the generation of high performing
                 classifiers, and the second, an understanding of how
                 the patient measurements are used to form these
                 classifiers. The latter is typically difficult to
                 achieve using alternative machine learning methods and
                 also provides a unique understanding of the underlying
                 clinical conditions.",
  notes =        "part of \cite{miller60book}

Genetic Programming entries for Stephen L Smith Michael A Lones