Genetic Programming for the Generation of Crisp and Fuzzy Rule Bases in Classification and Diagnosis of Medical Data

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{oai:CiteSeerPSU:501552,
  author =       "George Dounias and Hubertus Axer and 
                 Beth Bjerregaard and Diedrich {Graf von Keyserlingk} and Jan Jantzen and 
                 Athanasios Tsakonas",
  title =        "Genetic Programming for the Generation of Crisp and
                 Fuzzy Rule Bases in Classification and Diagnosis of
                 Medical Data",
  booktitle =    "First International NAISO Congress on Neuro Fuzzy
                 Technologies",
  year =         "2002",
  address =      "Havana, Cuba",
  month =        "16-19 " # jan,
  organisation = "NAISO (Natural and Artificial Intelligence Systems
                 Organization)",
  keywords =     "genetic algorithms, genetic programming",
  citeseer-isreferencedby = "oai:CiteSeerPSU:147332;
                 oai:CiteSeerPSU:120858; oai:CiteSeerPSU:78616;
                 oai:CiteSeerPSU:473489; oai:CiteSeerPSU:104720;
                 oai:CiteSeerPSU:161453",
  citeseer-references = "oai:CiteSeerPSU:172707; oai:CiteSeerPSU:345471;
                 oai:CiteSeerPSU:259217",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:501552",
  rights =       "unrestricted",
  URL =          "http://www2.ba.aegean.gr/members/tsakonas/DTJABK_Cuba2002.pdf",
  URL =          "http://citeseer.ist.psu.edu/501552.html",
  abstract =     "This paper demonstrates two methodologies for the
                 construction of rule-based systems in medical decision
                 making. The first approach consists of a method
                 combining genetic programming and heuristic
                 hierarchical rule-base construction. The second model
                 is composed by a strongly-typed genetic programming
                 system for the generation of fuzzy rule-based systems.
                 Two different medical domains are used to evaluate the
                 models. The first field is the diagnosis of subtypes of
                 Aphasia. Two models for crisp rule-bases are presented.
                 The first one discriminates between four major types
                 and the second attempts the classification between all
                 common types. A third model consisted of a GPgenerated
                 fuzzy rule-based system is tested on the same domain.
                 The second medical domain is the classification of
                 Pap-Smear Test examinations where a crisp rulebased
                 system is constructed. Results denote the effectiveness
                 of the proposed systems. Comparisons on the system's
                 comprehensibility and the transparency are included.
                 These comparisons include for the Aphasia domain,
                 previous work consisted of two neural network models.",
  notes =        "http://www.icsc.ab.ca/conferences/nf2002/",
}

Genetic Programming entries for Georgios Dounias Hubertus Axer Beth Bjerregaard Diedrich Graf von Keyserlingk Jan Jantzen Athanasios D Tsakonas

Citations