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:1.8081
- @InProceedings{bojarczuk03,
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author = "Celia C. Bojarczuk and Heitor S. Lopes and
Alex A. Freitas",
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title = "An innovative application of a constrained-syntax
genetic programming system to the problem of predicting
survival of patients",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
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year = "2003",
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editor = "Conor Ryan and Terence Soule and Maarten Keijzer and
Edward Tsang and Riccardo Poli and Ernesto Costa",
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volume = "2610",
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series = "LNCS",
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pages = "11--21",
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address = "Essex",
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publisher_address = "Berlin",
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month = "14-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, data mining,
classification, medical applications",
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URL = "https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html",
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DOI = "doi:10.1007/3-540-36599-0_2",
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ISBN = "3-540-00971-X",
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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",
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notes = "EuroGP'2003 held in conjunction with EvoWorkshops
2003",
- }
Genetic Programming entries for
Celia Cristina Bojarczuk
Heitor Silverio Lopes
Alex Alves Freitas
Citations