Feature Selection for Survival Analysis with Competing Risks using Deep Learning.
Carl RietschelJinsung YoonMihaela van der SchaarPublished in: CoRR (2018)
Keyphrases
- deep learning
- survival analysis
- machine learning
- feature selection
- unsupervised learning
- risk assessment
- breast cancer
- regression model
- predictive modeling
- risk management
- data mining
- text classification
- pattern recognition
- data mining methods
- text categorization
- decision making
- logistic regression
- active learning
- risk factors
- feature extraction
- support vector
- evolutionary computing
- dimensionality reduction
- data analysis
- decision trees
- knowledge discovery
- classification accuracy
- weakly supervised
- data mining techniques
- training data
- learning algorithm
- evolutionary algorithm
- mental models
- particle swarm optimization
- computational intelligence
- supervised learning
- higher order
- model selection