A neural-Bayesian approach to survival analysis

B. Bakker
1999 9th International Conference on Artificial Neural Networks: ICANN '99   unpublished
Standard survival analysis can be given a neural interpretation in terms of a multi-layered perceptron (MLP) with exponential transfer functions. More hidden units accommodate more complex relationships. The neural interpretation suggests a Bayesian analysis, which allows one to introduce sensible priors and to sample from the posterior. We also propose a method for computing p-values from the obtained ensemble of networks, because, in the end, this is the kind of information medical experts
more » ... familiar with. We apply our methods on a database regarding patients with ovarian cancer.
doi:10.1049/cp:19991215 fatcat:2gvrh7su2fgzzih7izs345jg2i