An innovative application of a constrained-syntax genetic programming system to the problem of predicting survival of patients

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{bojarczuk03,

• author = "Celia C. Bojarczuk and Heitor S. Lopes and Alex A. Freitas",
• title = "An innovative application of a constrained-syntax genetic programming system to the problem of predicting survival of patients",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
• year = "2003",
• editor = "Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa",
• volume = "2610",
• series = "LNCS",
• pages = "11--21",
• address = "Essex",
• publisher_address = "Berlin",
• month = "14-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, data mining, classification, medical applications",
• URL = "https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html",
• DOI = "doi:10.1007/3-540-36599-0_2",
• ISBN = "3-540-00971-X",
• abstract = "This paper proposes a constrained-syntax genetic programming (GP) algorithm for discovering classification rules in medical data sets. The proposed GP contains several syntactic constraints to be enforced by the system using a disjunctive normal form representation, so that individuals represent valid rule sets that are easy to interpret. The GP is compared with C4.5 in a real-world medical data set. This data set represents a difficult classification problem, and a new preprocessing method was devised for mining the data",
• notes = "EuroGP'2003 held in conjunction with EvoWorkshops 2003",

}

Genetic Programming entries for Celia Cristina Bojarczuk Heitor Silverio Lopes Alex Alves Freitas

Citations