Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes

This article proposes two ensemble neural network-based models for blood glucose prediction at three different prediction horizons—30, 60, and 120 min—and compares their performance with ten recently proposed neural networks. The twelve models’ performances are evaluated under the same OhioT1DM Data...

Descripción completa

Detalles Bibliográficos
Autores principales: Tena, Félix, Garnica, Oscar, Lanchares, Juan, Hidalgo, Jose Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588394/
https://www.ncbi.nlm.nih.gov/pubmed/34770397
http://dx.doi.org/10.3390/s21217090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588394/
https://www.ncbi.nlm.nih.gov/pubmed/34770397
http://dx.doi.org/10.3390/s21217090

Ejemplares similares