Description-based Label Attention Classifier for Explainable ICD-9 Classification.
Malte FeuchtZhiliang WuSophia AlthammerVolker TrespPublished in: W-NUT (2021)
Keyphrases
- class labels
- classification scheme
- classification algorithm
- multi label classification
- classification method
- support vector
- classification process
- feature space
- support vector machine
- classification rate
- decision trees
- learning vector quantization
- svm classifier
- classification schemes
- training samples
- decision boundary
- classification accuracy
- classifier combination
- nearest neighbor classifier
- feature selection
- training data
- training set
- multi label
- pattern classification
- classification models
- feature set
- final classification
- higher classification accuracy
- probabilistic classifiers
- accurate classification
- feature extraction
- class membership
- feature vectors
- labeling process
- feature extraction and classification
- binary classifiers
- bayesian classifier
- k nearest neighbour
- high classification accuracy
- support vector machine svm
- decision tree classifiers
- fuzzy classifier
- multiple classifiers
- individual classifiers
- learning phase
- machine learning
- unseen data
- multiclass classification
- supervised classification
- multi class
- classification decisions
- unlabeled data
- label noise
- active learning framework
- extracted features
- clinical diagnosis
- text classifiers
- ensemble classifier
- fold cross validation
- svm classification
- discriminative learning