Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks.
Mohammed Ghaith AltarabichiAbdallah AlabdallahSepideh PashamiThorsteinn S. RögnvaldssonSlawomir NowaczykMattias OhlssonPublished in: GECCO Companion (2024)
Keyphrases
- loss function
- survival analysis
- neural network
- logistic regression
- evolutionary computing
- genetic algorithm
- breast cancer
- regression model
- pairwise
- evolutionary game theory
- fuzzy systems
- data mining
- survival data
- ordinal regression
- fuzzy logic
- machine learning
- multilayer perceptron
- data mining methods
- artificial neural networks
- support vector
- evolutionary computation
- multi objective
- neural network model
- computational intelligence
- back propagation
- evolutionary algorithm
- data mining techniques
- predictive modeling
- convex loss functions
- kaplan meier
- soft computing
- knowledge discovery
- genetic programming
- risk assessment
- information retrieval
- swarm intelligence