Weighting the importance of variables with genetic programming: An application to Galician schizophrenia patients

V. Aguiar-Pulido, D. Rivero, M. Gestal, J. Dorado

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Data mining, a part of the Knowledge Discovery in Databases process (KDD), is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management. Analyses of biomedical data have evolved towards genome-wide and high-throughput approaches, thus generating great amounts of data for which data mining is essential. Therefore, a novel approach based on genetic programming with the aim of weighting the importance of the different variables contained in the data generated in the biomedical field is presented. This approach was applied to SNP data from Galician schizophrenia patients, showing the possibilities it offers.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012
Pages583-587
Number of pages5
StatePublished - 2012
Externally publishedYes
Event2012 International Conference on Artificial Intelligence, ICAI 2012 - Las Vegas, NV, United States
Duration: Jul 16 2012Jul 19 2012

Publication series

NameProceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012
Volume2

Conference

Conference2012 International Conference on Artificial Intelligence, ICAI 2012
Country/TerritoryUnited States
CityLas Vegas, NV
Period7/16/127/19/12

Keywords

  • Data mining
  • Evolutionary computation
  • Genetic programming
  • Schizophrenia
  • Variable analysis

ASJC Scopus subject areas

  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Weighting the importance of variables with genetic programming: An application to Galician schizophrenia patients'. Together they form a unique fingerprint.

Cite this