Self-Adaptive Mutation Operators for Genetic Neural Networks in Survival Analysis
Artificial neural networks (ANN) are used within the medical eld of survival analysis to rank patients according to their risk group. To evaluate how well the ranking was conducted, it is common to obtain the concordance index error (c-index). It has been shown that ANNs can be trained directly on the c-index with the use of genetic algorithms (GA). The GA evolution of an ANN is controlled by a se