Constructing Artificial Neural Networks for Censored Survival Data from Statistical Models
A general approach to the design and training of ANNs for censored survival data is presented, with statistical models used as building blocks. This provides efficient initialization and an aid to interpretation.
Unable to display preview. Download preview PDF.
- BISHOP, C.M. (1995): Neural Networks for Pattern Recognition. Clarendon PressGoogle Scholar
- CIAMPI, A. (1991): Generalized Regression trees. Computational Statistics and Data Analysis, 57–78Google Scholar
- COX, D.R., OAKES, D. (1984): Analysis of Survival Data. Chapman&HallGoogle Scholar
- HASTIE, T., TIBSHIRANI, R. (1990): Generalized additive models. Chapman&HallGoogle Scholar