Supervised discretization can discover risk groups in cancer survival analysis.
Iván GómezNuria RibellesLeonardo FrancoEmilio AlbaJosé M. JerezPublished in: Comput. Methods Programs Biomed. (2016)
Keyphrases
- survival analysis
- breast cancer
- kaplan meier
- risk assessment
- logistic regression
- machine learning
- regression model
- data mining
- predictive modeling
- risk management
- risk factors
- learning algorithm
- evolutionary computing
- data mining methods
- genetic programming
- feature selection
- cancer patients
- decision making
- computer aided
- computational intelligence
- evolutionary algorithm
- preprocessing
- survival data