Machine learning-based prediction of length of stay (LoS) in the neonatal intensive care unit using ensemble methods.
Ayse Erdogan YildirimMurat CanayazPublished in: Neural Comput. Appl. (2024)
Keyphrases
- ensemble methods
- prediction accuracy
- machine learning
- machine learning methods
- neonatal intensive care unit
- decision trees
- random forests
- ensemble learning
- ensemble classifier
- machine learning algorithms
- random forest
- generalization ability
- bias variance analysis
- decision tree learning
- base classifiers
- benchmark datasets
- majority voting
- imbalanced data
- base learners
- learning algorithm
- drifting concepts
- learning objects
- inductive learning
- ensemble feature selection
- classifier ensemble
- pattern recognition
- support vector machine
- feature selection
- logistic regression
- neural network
- semi supervised learning
- genetic programming
- text classification
- supervised learning
- multi class
- training data
- e learning
- data mining