• DocumentCode
    654802
  • Title

    Using Decision Tree to Analyze Patient of Aortic Aneurysm with Chronic Diseases in Clinical Application

  • Author

    Kuang-Yi Chou ; Chun-Che Shih ; Huan-Chao Keh ; Po-Yuan Yu ; Yuan-Cheng Cheng ; Nan-Ching Huang

  • Author_Institution
    Center of Gen. Educ., Nat. Taipei Univ. of Nursing & Health Sci., Taipei, Taiwan
  • fYear
    2013
  • fDate
    4-6 Sept. 2013
  • Firstpage
    405
  • Lastpage
    409
  • Abstract
    Aortic aneurysm is caused by sclerosis of aortic wall. However, bad habits and chronic disease would be caused sclerosis of aortic wall. Therefore, bad habits and chronic diseases would possible affect aortic aneurysm, even after surgery. In this study, we used data mining to analyzed patient´s history and lab data from pre-operation and post-operation to find the affect between aortic aneurysm and chronic disease. Then, we could be aimed difference of aortic aneurysm patient´s chronic disease to let the patient to prevent or treat status early. Furthermore, it increased aortic aneurysm patient the effect of recovery after operator.
  • Keywords
    data mining; decision trees; diseases; medical computing; aortic aneurysm; aortic wall sclerosis; chronic disease; clinical application; data mining; decision tree; lab data; patient history; post-operation; preoperation; Algorithm design and analysis; Aneurysm; Cities and towns; Data mining; Diseases; Educational institutions; Decision tree; aortic aneurysm; chronic diseases; data minin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network-Based Information Systems (NBiS), 2013 16th International Conference on
  • Conference_Location
    Gwangju
  • Print_ISBN
    978-1-4799-2509-4
  • Type

    conf

  • DOI
    10.1109/NBiS.2013.65
  • Filename
    6685433