Discovering objective functions for tagging medical text concepts

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "George J. Shannon and Steven M. Corns and 
                 Donald C. {Wunsch, II}",
  booktitle =    "IEEE Conference on Computational Intelligence in
                 Bioinformatics and Computational Biology",
  title =        "Discovering objective functions for tagging medical
                 text concepts",
  year =         "2014",
  month =        may,
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CIBCB.2014.6845528",
  size =         "7 pages",
  abstract =     "This research demonstrates the use of genetic
                 programming to derive the objective function that ranks
                 the candidate concepts and selects the set of best
                 matching concepts for a sentence within medical text. A
                 short set of example primitive and linguistic variables
                 was input into the GP process, and a set of manually
                 tagged sentences extracted from the literature was used
                 to derive different objective functions potentially
                 suitable for tagging. This proof-of-concept
                 demonstrates the potential of this approach to simplify
                 automated semantic tagging and to identify some of the
                 likely challenges of applying the GP approach to
                 complex linguistics problems of this nature.",
  notes =        "Eng. Manage. & Syst. Eng., Missouri Univ. of Sci. &
                 Technol., Rolla, MO, USA

                 Also known as \cite{6845528}",

Genetic Programming entries for George J Shannon Steven M Corns Donald C Wunsch II