Detection of Diabetes Using Genetic Programming

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

  author =       "Muhammad Waqar Aslam and Asoke Kumar Nandi",
  title =        "Detection of Diabetes Using Genetic Programming",
  booktitle =    "18th European Signal Processing Conference, EUSIPCO
  year =         "2010",
  pages =        "1184--1188",
  month =        aug # " 23-27",
  organization = "Eurasip",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  size =         "5 pages",
  abstract =     "Diabetes is one of the common and rapidly increasing
                 diseases in the world. It is a major health problem in
                 most of the countries. Due to its importance, the need
                 for automated detection of this disease is increasing.
                 The method proposed here uses genetic programming (GP)
                 and a variation of genetic programming called GP with
                 comparative partner selection (CPS) for diabetes
                 detection. The proposed system consists of two stages.
                 In first stage we use genetic programming to produce an
                 individual from training data, that converts the
                 available features to a single feature such that it has
                 different values for healthy and patient (diabetes)
                 data. In the next stage we use test data for testing of
                 that individual. The proposed system was able to
                 achieve 78.5 (pm 2.2)percent accuracy. The results
                 showed that GP based classifier can assist in the
                 diagnosis of diabetes disease.",
  owner =        "waqar",
  timestamp =    "2013.03.25",

Genetic Programming entries for Muhammad Waqar Aslam Asoke K Nandi