On the use of artificial neural networks for the analysis of survival data
- 1 September 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks
- Vol. 8 (5) , 1071-1077
- https://doi.org/10.1109/72.623209
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.Keywords
This publication has 2 references indexed in Scilit:
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