An approach for Personalized Continuous Glucose Prediction with Regression Trees.
Sotiris AlexiouElias DritsasOtilia KocsisKonstantinos MoustakasNikos FakotakisPublished in: SEEDA-CECNSM (2021)
Keyphrases
- regression trees
- predictive model
- prediction accuracy
- random forests
- regression model
- prediction model
- regression problems
- conditional random fields
- linear models
- linear regression
- decision trees
- decision rules
- linear model
- least squares
- artificial neural networks
- dynamic bayesian networks
- genetic algorithm
- high dimensional
- pairwise