Assessing chronic kidney disease from office visit records using hierarchical meta-classification of an imbalanced dataset.
Moumita BhattacharyaClaudine JurkovitzHagit ShatkayPublished in: BIBM (2017)
Keyphrases
- imbalanced datasets
- decision trees
- rare class
- support vector
- machine learning
- cost sensitive learning
- model selection
- supervised learning
- feature extraction
- active learning
- text classification
- training set
- training samples
- machine learning algorithms
- machine learning methods
- pattern classification
- class imbalance
- class labels
- learning algorithm
- feature space
- training dataset
- cost sensitive
- classification accuracy
- support vector machine svm
- multi class
- knn