Predicting carcinoid heart disease with the noisy-threshold classifier.
Marcel van GervenRasa JurgelenaiteBabs G. TaalTom HeskesPeter J. F. LucasPublished in: Artif. Intell. Medicine (2007)
Keyphrases
- heart disease
- medical diagnosis
- disease diagnosis
- feature selection
- classification method
- clinical decision support systems
- training data
- roc curve
- label noise
- support vector
- classification algorithm
- medical records
- noisy data
- support vector machine
- feature space
- decision trees
- training samples
- learning algorithm
- computer aided
- data sets
- multi class
- classification process
- classification accuracy
- training set
- three dimensional
- information systems
- minimum error