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 are familiar with. We apply our methods on a database regarding patients with ovarian cancer. A neural-Bayesian approach to survival analysis. A neural-Bayesian approach to survival analysis.