• DocumentCode
    3696895
  • Title

    A Data Mining Analysis of Asthma Risk Factors

  • Author

    Alma Pochini;Ben M. Williams;Hasanboy M. Isomitdinov;Gongzhu Hu

  • Author_Institution
    Depts. of Finance, Law, Central Michigan Univ., Mount Pleasant, MI, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    349
  • Lastpage
    354
  • Abstract
    Asthma is a chronic inflammatory disease of theairways. Although causes of asthma may directly related toenvironment factors such as dust mites, pollens, cold air, etc.,we would like to find out if demographic, social and behaviorfactors also play a role. In this paper, we present a studyof the behavioral rick factors in relation to people gettingasthma. This study applies data mining techniques to the 2013Behavioral Risk Factor Surveillance System (BRFSS) dataset ofover 490,000 observations with 336 variables. The results revealsome relationships between some of these variables and asthmathat may help asthma prevention.
  • Keywords
    "Logistics","Diseases","Data mining","Neural networks","Regression tree analysis"
  • Publisher
    ieee
  • Conference_Titel
    Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence (ACIT-CSI), 2015 3rd International Conference on
  • Type

    conf

  • DOI
    10.1109/ACIT-CSI.2015.101
  • Filename
    7336087