Classification Models to Predict Survival of Kidney Transplant Recipients Using Two Intelligent Techniques of Data Mining and Logistic Regression

Classification Models to Predict Survival of Kidney Transplant Recipients Using Two Intelligent Techniques of Data Mining and Logistic Regression

Kidney transplantation is the treatment of choice for patients with end-stage renal disease (ESRD). Prediction of the transplant survival is of paramount importance. The objective of this study was to develop a model for predicting survival in kidney transplant recipients. In a cross-sectional study...

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Bibliographic Details
Main Authors: M Nematollahi, R Akbari, S Nikeghbalian, C Salehnasab
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2017-04-01
Series:International Journal of Organ Transplantation Medicine
Subjects:
Kidney transplantation
Survival
Data mining
Neural networks
Support vector machine
Online Access:http://www.ijotm.com/ojs/index.php/IJOTM/article/view/229

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http://www.ijotm.com/ojs/index.php/IJOTM/article/view/229

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