淡江大學機構典藏:Item 987654321/104254
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62830/95882 (66%)
Visitors : 4156190      Online Users : 715
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/104254


    Title: Using Decision Tree to Analyze Relation between Aortic Aneurysm and Chronic Diseases in Clinical Application
    Authors: Chou, Kuang-Yi;Shih, Chun-Che;Keh, Huan-Chao;Yu, Po-Yuan;Cheng, Yuan-Cheng;Huang, Nan-Ching
    Keywords: Decision Tree;Data Minin;Aortic Aneurysm;Chronic Diseases
    Date: 2015-07-01
    Issue Date: 2016-01-06 10:53:06 (UTC+8)
    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.
    Relation: Journal of Applied Science and Engineering 18(2), pp.97-104
    DOI: 10.6180/jase.2015.18.2.01
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML282View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback