Profiling Cardiovascular Disease Event Risk through Clustering of Classification Association Rules.
Shen SongJim WarrenPatricia RiddlePublished in: CBMS (2014)
Keyphrases
- association rules
- risk factors
- classification rules
- cardiovascular disease
- classification accuracy
- clustering algorithm
- clinical diagnosis
- svm classification
- classification method
- unsupervised learning
- pattern recognition
- supervised learning
- data mining
- feature vectors
- machine learning
- class labels
- support vector machine svm
- machine learning methods
- feature space
- support vector machine
- training set
- cost sensitive
- risk assessment
- support vector
- decision trees