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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25778

Title: On the use of artificial neural networks for the analysis of survival data
Authors: Brown, Stephen F.
Branford, Alan J.
Moran, William
Keywords: Statistics
Survival analysis
Neural network applications
Data analysis
Issue Date: 1997
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Brown, S., Branford, A. and Moran, W. 1997. On the use of artificial neural networks for the analysis of survival data. IEEE Transactions on Neural Networks, 8 (5), 1071-1077.
Abstract: Artificial neural networks are a powerful tool for analyzing data sets where there are complicated nonlinear interactions between the measured inputs and the quantity to be predicted. We show that the results obtained when neural networks are applied to survival data depend critically on the treatment of censoring in the data. When the censoring is modeled correctly, neural networks are a robust model independent technique for the analysis of very large sets of survival data.
URI: http://hdl.handle.net/2328/25778
ISSN: 1045-9227
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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