TY  - JOUR
AU  - Contador, Sergio
AU  - Velasco Cabo, José Manuel
AU  - Garnica Alcázar, Antonio Óscar
AU  - Hidalgo Pérez, José Ignacio
PY  - 2021
DO  - 10.1016/J.ASOC.2021.107609
UR  - https://hdl.handle.net/20.500.14352/117371
T2  - Applied Soft Computing
AB  - This paper investigates a set of genetic programming methods to obtain accurate predictions of subcutaneous glucose values from diabetic patients. We explore the usefulness of different features that identify the latent glucose variability. New...
LA  - eng
M2  - 1
PB  - Elsevier
KW  - Diabetes
KW  - Continuous glucose monitoring
KW  - Glucose variability
KW  - Genetic programming
TI  - Glucose forecasting using genetic programming and latent glucose variability features
TY  - journal article
VL  - 110
ER  -