Data Mining in Complex Diseases Using Evolutionary Computation

Vanessa Aguiar, Jose A. Seoane, Ana Freire, Cristian R. Munteanu

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)

Abstract

A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on Genetic Algorithms, a technique of Evolutionary Computation. The algorithm was compared to several traditional data mining techniques and it was proved that it obtained similar classification scores but found more rules from the data generated artificially. fit this paper it is assumed that several groups of SNPs have an impact on the predisposition to develop a complex disease like schizophrenia. It is expected to validate this in a short period of time oil real data.

Original languageEnglish
Title of host publicationBIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1
EditorsJ Cabestany, A Prieto, F Sandoval, JM Corchado
Place of PublicationBERLIN
PublisherSpringer-Verlag Berlin
Pages917-924
Number of pages8
ISBN (Print)978-3-642-02477-1
Publication statusPublished - 2009
Event10th International Work-Conference on Artificial Neural Networks (IWANN 2009) - Salamanca, Spain
Duration: 10 Jun 200912 Jun 2009

Conference

Conference10th International Work-Conference on Artificial Neural Networks (IWANN 2009)
CountrySpain
CitySalamanca
Period10/06/0912/06/09

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