An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management.
Giulia NoaroGiacomo CapponGiovanni SparacinoAndrea FacchinettiPublished in: EMBC (2021)
Keyphrases
- learning algorithm
- diabetes mellitus
- diabetic patients
- high risk
- training data
- machine learning
- decision making
- voting schemes
- random forests
- dynamic programming
- management system
- information management
- health care
- machine learning algorithms
- back propagation
- project management
- worst case
- training set
- reinforcement learning
- neural network
- data management
- weighted voting
- optimal solution
- information systems
- learning problems
- supervised learning
- ensemble methods
- learning process
- risk factors
- majority voting
- safety critical
- blood glucose