Predicting hospital associated disability from imbalanced data using supervised learning.
Mirka SaarelaOlli-Pekka RyynänenSami ÄyrämöPublished in: Artif. Intell. Medicine (2019)
Keyphrases
- imbalanced data
- supervised learning
- class distribution
- learning from imbalanced data
- training data
- feature selection
- ensemble methods
- active learning
- linear regression
- semi supervised learning
- class imbalance
- unsupervised learning
- sampling methods
- semi supervised
- imbalanced datasets
- random forest
- class labels
- decision trees
- support vector machine
- training set
- training examples
- classification models
- training samples
- learning tasks
- reinforcement learning
- svm classifier
- machine learning
- unlabeled data
- labeled data
- ensemble classifier
- least squares
- learning problems
- support vector
- learning algorithm