A Data Mining Approach to Fistula Surgery Failure Analysis in Hemodialysis Patients

Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,287

This Paper With 6 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

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.

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