Predicting Stroke Risk With an Interpretable Classifier.
Sergio PeñafielNelson BaloianHoracio SansonJosé A. PinoPublished in: IEEE Access (2021)
Keyphrases
- empirical risk
- feature selection
- classification method
- support vector
- decision trees
- feature space
- learning classifier systems
- decision making
- feature set
- classifier systems
- risk assessment
- linear classifiers
- chinese characters
- risk factors
- classification process
- loss function
- training samples
- risk minimization
- classification accuracy
- training data
- fold cross validation
- text classifiers
- high risk
- health care
- classification rate
- classification scheme
- risk management
- neural network
- classification algorithm
- svm classifier
- logistic regression
- recognition rate
- support vector machine
- learning algorithm