Empirical Study of Decision Trees and Ensemble Classifiers for Monitoring of Diabetes Patients in Pervasive Healthcare.
Andrei V. KelarevAndrew StranieriJohn YearwoodHerbert F. JelinekPublished in: NBiS (2012)
Keyphrases
- empirical studies
- ensemble classifier
- chronic disease
- decision trees
- continuous monitoring
- blood glucose
- health care
- base classifiers
- random forest
- ensemble methods
- diabetic patients
- classification models
- health related
- intensive care
- high risk
- health care providers
- medical care
- ensemble learning
- diabetes mellitus
- primary care
- naive bayes
- concept drift
- health monitoring
- cardiovascular disease
- health status
- medical devices
- monitoring system
- training set
- blood pressure
- intensive care unit
- multi class
- machine learning algorithms
- test data
- training data
- machine learning
- electronic health records
- feature set
- fusion method
- risk factors