Validation of a Probabilistic Prediction Model for Patients with Type 1 Diabetes Using Compositional Data Analysis

Validation of a Probabilistic Prediction Model for Patients with Type 1 Diabetes Using Compositional Data Analysis

Glycemia assessment in people with type 1 diabetes (T1D) has focused on the time spent in different glucose ranges. As this time reflects the relative contributions to the finite duration of a day, it should be treated as compositional data (CoDa) that can be applied to T1D data. Previous works pres...

Full description

Bibliographic Details
Main Authors: Alvis Cabrera, Lyvia Biagi, Aleix Beneyto, Ernesto Estremera, Iván Contreras, Marga Giménez, Ignacio Conget, Jorge Bondia, Josep Antoni Martín-Fernández, Josep Vehí
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
compositional data
continuous glucose monitoring
prediction model
time in range
type 1 diabetes
Online Access:https://www.mdpi.com/2227-7390/11/5/1241

Internet

https://www.mdpi.com/2227-7390/11/5/1241

Similar Items