An Ensemble of Bagged Decision Trees for Early Prediction of Sepsis.
Reza FiroozabadiSaeed BabaeizadehPublished in: CinC (2019)
Keyphrases
- decision trees
- base classifiers
- random forests
- ensemble methods
- prediction accuracy
- random forest
- ensemble classifier
- naive bayes
- ensemble learning
- regression trees
- machine learning algorithms
- machine learning
- predictive model
- predictive accuracy
- decision tree induction
- training data
- training set
- neural network ensemble
- logistic regression
- concept drifting data streams
- multi class
- initial stage
- neural network
- classifier ensemble
- prediction algorithm
- prediction error
- combining classifiers
- decision tree classifiers
- predictive clustering trees
- attribute selection
- maximum margin
- classification accuracy
- rule sets
- binary classification problems
- constructive induction
- decision tree algorithm
- decision tree learning
- induction algorithms
- training samples
- drift detection
- prediction model