Proceedings of the Korea Inteligent Information System Society Conference (한국지능정보시스템학회:학술대회논문집)

Korea Intelligent Information System Society (한국지능정보시스템학회)
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Data Mining Techniques for Medical Informatics: Application to SNP Analysis

  • Chun, Se-Hak (Department of Business Administration, Seoul National University of Technology) ;
  • Kim, Jin (Department of Computer Science, Hallym University) ;
  • Park, Yoon-Joo (KAIST) ;
  • Ham, Ki-Baek (Medical College, Ajou University) ;
  • Chun, Se-Chul (Department of Molecular Biotechnology, Konkuk University)
  • Published : 2005.11.18
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Abstract

Haplotype-based analysis using high-density SNP markers have gained a great attention in evaluating genes in gene analysis and various clinical situations. However, there has been no research on disease diagnostic modeling based on SNPs analysis to our knowledge. The purpose of this study is to explore how knowledge discovery techniques are applied in medical informatics area and proposes a Case Based Reasoning (CBR) technique for diagnosis of gastric caner using Single Nucleotide Polymorphism(SNP).

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