Evolutionary ensemble classifier for lymphoma and colon cancer classification

Chanho Park, Sung Bae Cho

Research output: Contribution to conferencePaper

11 Citations (Scopus)

Abstract

Cancer is one of the most dangerous diseases for people. Recently, development of array technologies makes it possible to measure thousands of genes at once, and it can be used to treat cancer. Various methods using array data to classify cancer are proposed, but there are no perfect and general methods. Ensemble method can demonstrate its ability if there are complementary set of individuals. However, it is needed methods to search the optimal ensembles, because there are so many available ensembles. We propose a GA-based method to search the optimal ensemble. In two benchmark datasets, our proposed method has shown significant result in the aspects of performance and time efficiency under the several situations.

Original languageEnglish
Pages2378-2385
Number of pages8
DOIs
Publication statusPublished - 2003
Event2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia
Duration: 2003 Dec 82003 Dec 12

Other

Other2003 Congress on Evolutionary Computation, CEC 2003
CountryAustralia
CityCanberra, ACT
Period03/12/803/12/12

All Science Journal Classification (ASJC) codes

  • Computational Mathematics

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    Park, C., & Cho, S. B. (2003). Evolutionary ensemble classifier for lymphoma and colon cancer classification. 2378-2385. Paper presented at 2003 Congress on Evolutionary Computation, CEC 2003, Canberra, ACT, Australia. https://doi.org/10.1109/CEC.2003.1299385