Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Kit Yan Chan and Sing Ho Ling and 
                 Tharam Singh Dillon and Hung Nguyen",
  title =        "Classification of hypoglycemic episodes for Type 1
                 diabetes mellitus based on neural networks",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "Hypoglycemia is dangerous for Type 1 diabetes mellitus
                 (T1DM) patients. Based on the physiological parameters,
                 we have developed a classification unit with
                 hybridising the approaches of neural networks and
                 genetic algorithm to identify the presences of
                 hypoglycemic episodes for TIDM patients. The proposed
                 classification unit is built and is validated by using
                 the real T1DM patients' data sets collected from
                 Department of Health, Government of Western Australia.
                 Experimental results show that the proposed neural
                 network based classification unit can achieve more
                 accurate results on both trained and unseen T1DM
                 patients' data sets compared with those developed based
                 on the commonly used classification methods for medical
                 diagnosis including statistical regression, fuzzy
                 regression and genetic programming.",
  DOI =          "doi:10.1109/CEC.2010.5586320",
  notes =        "WCCI 2010. Also known as \cite{5586320}",

Genetic Programming entries for Kit Yan Chan Sing Ho Ling Tharam S Dillon Hung Nguyen