Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS.
Rosa BlancoIñaki InzaMarisa MerinoJorge QuirogaPedro LarrañagaPublished in: J. Biomed. Informatics (2005)
Keyphrases
- bayesian classifiers
- breast cancer patients
- logistic regression
- feature selection
- breast cancer
- kaplan meier
- bayesian classifier
- survival analysis
- naive bayes
- support vector
- bayesian network classifiers
- cancer patients
- text categorization
- survival data
- decision trees
- machine learning
- classification accuracy
- text classification
- feature set
- support vector machine
- cost sensitive learning
- base classifiers
- supervised classification
- loss function
- bayesian methods
- feature selection algorithms
- selected features
- naive bayes classifier
- bayesian networks
- knn
- multi task
- cost sensitive
- feature subset
- feature space
- unsupervised learning
- model selection
- classification models
- high dimensionality
- supervised learning
- multi class