Application of SsVGMM to medical data - classification with novelty detection.
Fan YangJaymar SorianoTakatomi KuboKazushi IkedaPublished in: EMBC (2017)
Keyphrases
- novelty detection
- medical data
- text filtering
- medical data mining
- support vector data description
- classification accuracy
- decision trees
- anomaly detection
- machine learning
- model selection
- medical images
- pattern recognition
- text classification
- decision rules
- classification algorithm
- monitoring system
- feature vectors
- medical records
- sentence level
- support vector
- feature selection