• DocumentCode
    2456989
  • Title

    Regression Analysis about Risk Factor of Short-Term Decease Related with Heart Valve Replacement

  • Author

    Xu, Chuanqing ; Yongxin, Deng ; Wenkai, Xiao ; Yuan, Dehui

  • Author_Institution
    Math. Dept., Hanshan Normal Coll., Beijing, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    37
  • Lastpage
    40
  • Abstract
    This research mainly explores the lethal factors of patients who receive the surgery of heart valve replacement. In this research the Logistics regressive mathematical model is established on the basis of a large number of clinical data, and the relevant lethal factors in the short-term decease cases can be obtained. Through analysis and comparison of these factors, we found that the main lethal factors in the short-term decease cases are: the ASD in cardiovascular disease, PDA, the cardiac function in grade class III-IV when admission, the duration time of artery block between 61 and 90 minutes, the valvula bicuspidalis ring type being Devega, the postoperative discharging blood between 25% and 35 %, the valvula bicuspidalis leaking after surgery, namely, the patients with above symptoms will have high risks of deaths. And we also have done incomplete difference analysis to the model and test with reamer intercept method to ensure the correctness of the analysis.
  • Keywords
    cardiovascular system; diseases; prosthetics; regression analysis; surgery; cardiovascular disease; heart valve replacement; lethal factor; postoperative discharging blood; regression analysis; risk factor; short term disease; surgery; valvula bicuspidalis ring; Analytical models; Cardiology; Diseases; Heart; Logistics; Surgery; Valves; Incomplete Difference Analysis; Reamer Intercept Method; Regressive Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8814-8
  • Electronic_ISBN
    978-0-7695-4270-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.331
  • Filename
    5709007