Contextual explanation rules for neural clinical classifiers.
Madhumita SushilSimon SusterWalter DaelemansPublished in: BioNLP@NAACL-HLT (2021)
Keyphrases
- learning rules
- neural classifier
- neural network
- rule induction algorithm
- contextual information
- learning classifier systems
- support vector
- classification models
- training data
- feature selection
- association rules
- svm classifier
- multiple classifiers
- patient data
- decision trees
- linear classifiers
- clinical data
- context dependent
- machine learning
- training set
- machine learning algorithms
- learning algorithm
- associative memory
- associative classifiers
- training samples
- classifier combination
- rule extraction
- support vector machine svm
- ensemble classifier
- explanation based learning
- test set
- association rule mining
- network architecture
- background knowledge
- classification algorithm
- classification method