A COMPARISON OF REGRESSION METHODS WITH ARTIFICLAL NEURAL NETWORKS FOR THE f REDICTION OF THE OUTCOME OF PATIENTS ON CHRONIC DIALYSIS

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" A COMPARISON OF REGRESSION METHODS WITH ARTIFICLAL NEURAL NETWORKS FOR THE f REDICTION OF THE OUTCOME OF PATIENTS ON CHRONIC DIALYSIS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	152305
Doc. No	:	ET24097
Main Entry	:	David Malcolm Joseph Naimark
Title Proper	:	A COMPARISON OF REGRESSION METHODS WITH ARTIFICLAL NEURAL NETWORKS FOR THE f REDICTION OF THE OUTCOME OF PATIENTS ON CHRONIC DIALYSIS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Title: A comparison of regression methods with artificial neural networks for theprediction of the outcome of patients on chronic dialysis. Degree: Master of Science.Year: 2000. Graduate department: Graduate Department of Community Health andHealth Administration. University: University of Toronto.Chronic dialysis patients suffer from a high mortality rate. The ability of multivariabIeregression models and artificial neural networks (ANNs) to predict the survival.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL48299.pdf
Title and statement of responsibility and	:	A COMPARISON OF REGRESSION METHODS WITH ARTIFICLAL NEURAL NETWORKS FOR THE f REDICTION OF THE OUTCOME OF PATIENTS ON CHRONIC DIALYSIS [Thesis]