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Practical Remarks in Analyzing Kidney Transplant Data Using a Systems Approach with Neural Networks

Ronald P. Pelletier

In this article, the authors briefly examine the practical issues of applying neural networktechniques to survival theory, followed by an outline of a systems approach that enhancesthe ability of the analyst to better understand the data. It is based on our priorexperience in analyzing kidney transplant patients and the first author's experience usingthe second author's experience in industrial mathematics. In addition, the authorsprovide an introduction to neural network technology and its connection to simple linearmodels, along with a brief outline of the use of soft computing, such as scoring functionsto incorporate subjective information into models.

Key Words: kidney transplant • neural networks • survival theory • biostatistics

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