A Data Mining Approach to Fistula Surgery Failure Analysis in Hemodialysis Patients
Publish place: 18th Iranian conference on Biomedical Engineering
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICBME18_116
تاریخ نمایه سازی: 27 فروردین 1393
Abstract:
Patients with End-stage renal disease (ESRD) require hemodialysis (HD). An important aspect of HD treatment isvascular 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.
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Authors
Mohammad Mehdi Sepehri
School of Engineering Tarbiat Modares University, and Hospital Management Research Center
Morteza Khavaninzadeh
Hasheminejad Kidney Center, Tehran University of Medical. Sciences
Mohammad Rezapour
School of Engineering, Tarbiat Modares University
Babak Teimourpour
School of Engineering Tarbiat Modares University