DocumentCode
2040292
Title
A new method in the long-term mortality related With heart valve replacement
Author
Xu Chuanqing ; Yuan, Dehui ; Gong, Lei ; Yang, Shengyun
Author_Institution
Math. Dept., Hanshan Normal Coll., Chaozhou, China
Volume
5
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
2155
Lastpage
2158
Abstract
This research mainly discusses the lethal factors of patients who receive the surgery of heart valve replacement for a long time. The research purpose is to provide the reference for the therapy of clinic. Logistic regressive mathematical model and a new conditioning (training) set are given. Applying incomplete difference analysis to the model and testing with reamer intercept method to ensure the correctness of the model, we obtain that the patient with diabetes, ejection fraction (the percent of discharging blood) less than 35% after surgery, the time of artery block between 61-90minutes, and the age less than 15 or more than 65 are risk factors of the long-term deaths.
Keywords
cardiology; diseases; patient treatment; physiological models; prosthetics; regression analysis; surgery; artery block; cardiovascular disease; diabetes; discharging blood; ejection fraction; heart valve replacement; incomplete difference analysis; lethal factors; logistic regressive mathematical model; long-term mortality; reamer intercept method; surgery; Accuracy; Correlation; Logistics; Mathematical model; Surgery; Training; Valves; Incomplete Difference Analysis; Regressive Analysis; heart valve replacement;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569751
Filename
5569751
Link To Document