Title :
A data mining approach to fistula surgery failure analysis in hemodialysis patients
Author :
Sepehri, Mohammad Mehdi ; Khavaninzadeh, Morteza ; Rezapour, Mohammad ; Teimourpour, Babak
Author_Institution :
Sch. of Eng., Tarbiat Modares Univ., Tehran, Iran
Abstract :
Patients with End-stage renal disease (ESRD) require hemodialysis (HD). An important aspect of HD treatment is vascular access, which that arterio-venous fistula (AVF) is the most desirable form of it. In this study we analyze the attributes of early Failure AVFs. The main idea is using descriptive techniques of data mining -such as Clustering- to discover important factors of them.
Keywords :
data mining; diseases; failure analysis; surgery; HD treatment; arteriovenous fistula; clustering; data mining; end stage renal disease; fistula surgery failure analysis; hemodialysis patients; vascular access; Biomedical engineering; Clustering algorithms; Data mining; Data models; Educational institutions; High definition video; Surgery; Clustering; Data Mining; Early failure; Fistula; Hemodialysis;
Conference_Titel :
Biomedical Engineering (ICBME), 2011 18th Iranian Conference of
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-1004-8
DOI :
10.1109/ICBME.2011.6168546
