Visualizing Rule-based Classifiers for Clinical Risk Prognosis.
Dario AntweilerGeorg FuchsPublished in: IEEE VIS (Short Papers) (2022)
Keyphrases
- machine learning methods
- therapy planning
- training data
- feature selection
- decision making
- expert systems
- test set
- naive bayes
- training set
- ensemble classifier
- machine learning algorithms
- risk management
- supervised classification
- breast cancer
- rule base
- classification models
- rule based systems
- decision trees
- training examples
- linear classifiers
- majority vote
- risk assessment
- cancer patients
- feature set
- support vector
- risk factors
- multiple classifiers
- patient data
- early detection
- high risk
- clinical practice
- medical domain
- outcome prediction
- neural network
- classification systems
- patient specific
- classification rate
- clinical data
- classification method
- classification algorithm
- fault diagnosis
- svm classifier
- training samples
- data driven
- machine learning
- data mining