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

, , and . Genetic Programming, Proceedings of EuroGP'2003, volume 2610 of LNCS, page 11--21. Essex, Springer-Verlag, (14-16 April 2003)

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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