Description-based Label Attention Classifier for Explainable ICD-9 Classification.
Malte FeuchtZhiliang WuSophia AlthammerVolker TrespPublished in: CoRR (2021)
Keyphrases
- class labels
- classification scheme
- classification method
- classification process
- classification algorithm
- feature space
- learning vector quantization
- classification rate
- multi label classification
- decision trees
- nearest neighbor classifier
- training samples
- support vector
- classification schemes
- classification models
- final classification
- feature set
- bayesian classifier
- k nearest neighbour
- training set
- accurate classification
- machine learning
- svm classifier
- support vector machine
- training data
- feature selection
- classifier combination
- multi class classifier
- feature vectors
- feature extraction
- high classification accuracy
- higher classification accuracy
- multiple classifiers
- naive bayes classifier
- multiclass classification
- supervised learning
- classification accuracy
- multi label
- probabilistic classifiers
- classifier ensemble
- ensemble classifier
- multi category
- fuzzy classifier
- individual classifiers
- associative classifiers
- text classifiers
- nearest neighbour
- supervised classification
- text classification
- training examples
- feature extraction and classification
- learning algorithm
- active learning framework
- fuzzy support vector machine
- labeling effort
- active learning
- support vector machine svm
- pattern classification
- learning phase
- ensemble learning
- unseen data
- class membership
- feature reduction
- decision boundary
- multiple classifier systems
- binary classifiers