Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression.
Eleni I. GeorgaVasilios C. ProtopappasDiego ArdigòMichela MarinaIvana ZavaroniDemosthenes PolyzosDimitrios I. FotiadisPublished in: IEEE J. Biomed. Health Informatics (2013)
Keyphrases
- support vector regression
- blood glucose
- regression model
- prediction model
- diabetic patients
- load forecasting
- support vector
- forecasting accuracy
- diabetes mellitus
- linear regression model
- blood pressure
- hybrid model
- kernel function
- cardiovascular disease
- high risk
- support vector machine svm
- medical data
- support vector classification
- extreme learning machine
- fermentation process
- prediction error
- response surface methodology
- hybrid genetic
- support vector machine
- nonlinear regression
- chronic disease
- model selection
- wavelet frame
- forecasting model
- ann models
- health related
- bp neural network
- learning algorithm