Probabilistic Survival Analysis by Approximate Bayesian Inference of Neural Networks.

Christian Marius Lillelund Martin Magris Christian Fischer Pedersen

Published in: CoRR (2024)

Keyphrases

bayesian inference
survival analysis
probabilistic model
neural network
expectation propagation
hierarchical bayesian
regression model
breast cancer

survival data
prior information
machine learning
evolutionary computing
data mining methods
generative model
predictive modeling
particle filter

data mining
graphical models
bayesian networks
fuzzy systems
neural network model
artificial neural networks
latent variables
logistic regression

risk assessment
back propagation
data sets
kaplan meier
genetic algorithm
statistical model
decision trees