• DocumentCode
    3673203
  • Title

    Analysis of gene mutation that cause lung cancer by using data miningand study of common remedy

  • Author

    Chaewon Ham;Jiwoo Kim;Seojung Ahn;Yebin Kim;Sewon Kim;Taeseon Yoon

  • Author_Institution
    Department of International, Hankuk Academy of Foreign Studies, HAFS, Yongin, South Korea
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Although there are a lot of advances in treating cancer, lung cancer is still the top ranked killer cancer taking millions of people´s lives. For heavy patients, targeted therapy is commonly used to delay the progress of cancer. However, different mutations that cause lung cancer need different drugs for the treatment. In order to find similarities between mutations, we conducted an experiment using apriori algorithm and decision tree algorithm in order to compare the DNA sequence of mutations that can possibly lead to lung cancer.
  • Keywords
    "Cancer","Lungs","Proteins","Medical treatment","Decision trees","Algorithm design and analysis","Amino acids"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/CIBCB.2015.7300307
  • Filename
    7300307