Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis: Prediction of Cardiovascular Events and Feature Selection using a Random Forest Approach.
Jasmine Ion TitapiccoloManuela FerrarioSergio CeruttiCarlo BarbieriFlavio MariEmanuele GattiMaria G. SignoriniPublished in: Int. J. Knowl. Discov. Bioinform. (2011)
Keyphrases
- medical data
- clinical decision making
- clinical data
- random forest
- feature set
- feature selection
- ensemble classifier
- medical images
- patient data
- data mining
- decision trees
- prediction accuracy
- ensemble methods
- text categorization
- knowledge discovery
- feature space
- text classification
- multi label
- clinical decision support
- text mining
- multi class
- microarray data
- base classifiers
- support vector
- feature extraction
- medical records
- support vector machine
- feature subset
- clinical practice
- clinical trials
- risk factors
- domain knowledge
- classification accuracy