Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset.
Petr ZelinaJana HalámkováVít NovácekPublished in: BIBM (2023)
Keyphrases
- unsupervised learning
- supervised learning
- benchmark datasets
- partially supervised
- supervised classification
- classification accuracy
- classification systems
- lung disease
- pattern recognition
- decision trees
- feature extraction
- automatic classification
- classification scheme
- uci datasets
- text classification
- feature vectors
- support vector
- unsupervised classification
- feature extraction and classification
- self organizing maps
- decision rules
- machine learning
- support vector machine svm
- image classification
- feature space
- pattern classification
- classification rules
- visual representation
- restricted boltzmann machine
- feature set
- training set
- bladder cancer