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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569751