Time-to-Event Prediction with Neural Networks and Cox Regression.
Håvard KvammeØrnulf BorganIda ScheelPublished in: CoRR (2019)
Keyphrases
- neural network
- regression model
- prediction model
- survival analysis
- regression analysis
- linear regression model
- prediction accuracy
- radial basis function network
- pattern recognition
- multiple linear regression
- artificial neural networks
- support vector regression
- predictive clustering trees
- artificial neural networks to predict
- fault diagnosis
- back propagation
- regression methods
- neural networks and support vector machines
- neural network ensemble
- predictive model
- support vector
- data mining
- kaplan meier
- target variable
- simple linear
- multi layer perceptron
- gaussian processes
- linear regression
- feed forward
- predictive modeling
- regression algorithm
- event recognition
- regression problems
- conformal prediction
- short term prediction
- model selection