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

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...

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Bibliographic Details
Main Authors: Félix Tena, Oscar Garnica, Juan Lanchares, Jose Ignacio Hidalgo
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
deep learning
neural networks
ensemble models
diabetes
blood glucose prediction
Online Access:https://www.mdpi.com/1424-8220/21/21/7090

Internet

https://www.mdpi.com/1424-8220/21/21/7090

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