Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths.
Casper WilstrupChris CavePublished in: BMC Medical Informatics Decis. Mak. (2022)
Keyphrases
- proportional hazards model
- variable selection
- symbolic regression
- heart failure
- genetic programming
- survival analysis
- survival prediction
- survival data
- cross validation
- clinical data
- parameter optimization
- high dimensional
- model selection
- health care
- regression model
- lung cancer
- gene expression programming
- evolutionary computation
- heart disease
- breast cancer
- machine learning
- predictive modeling
- evolutionary algorithm
- normal subjects
- data mining methods
- gene expression
- multi objective
- pattern recognition
- decision making
- feature selection
- information systems
- artificial intelligence