A decision support system based on an ensemble of random forests for improving the management of women with abnormal findings at cervical cancer screening.
Panagiotis BountrisMaria HaritouAbraham PouliakisPetros KarakitsosDimitrios D. KoutsourisPublished in: EMBC (2015)
Keyphrases
- random forests
- decision support system
- cervical cancer
- decision support
- management system
- random forest
- ensemble methods
- decision making
- computer aided diagnosis
- logistic regression
- machine learning algorithms
- decision tree ensembles
- decision trees
- decision makers
- risk management
- tree ensembles
- regression trees
- randomized trees
- expert systems
- ensemble learning
- data warehouse
- regression problems
- medical decision support systems
- image analysis
- multicriteria decision making
- base classifiers
- image registration
- early detection
- computer aided
- case based reasoning
- base learners
- artificial intelligence
- breast cancer
- neural network