A predictive model of subcutaneous glucose concentration in type 1 diabetes based on Random Forests.
Eleni I. GeorgaVasilios C. ProtopappasDemosthenes PolyzosDimitrios I. FotiadisPublished in: EMBC (2012)
Keyphrases
- random forests
- predictive model
- decision trees
- random forest
- logistic regression
- ensemble methods
- machine learning algorithms
- historical data
- fermentation process
- artificial neural networks
- tree ensembles
- prediction model
- classification rules
- databases
- randomized trees
- blood glucose
- decision tree ensembles
- regression model
- semi supervised
- base classifiers
- classification models
- loss function
- benchmark datasets
- data mining techniques
- learning algorithm
- genetic algorithm
- machine learning