Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities

Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities

<i>Background.</i> Since physical activity has a high impact on patients with type 1 diabetes and the risk of hypoglycemia (low blood glucose levels) is significantly higher during and after physical activities, an automatic method to provide a personalized recommendation is needed to im...

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Bibliographic Details
Main Authors: Phuong Ngo, Miguel Tejedor, Maryam Tayefi, Taridzo Chomutare, Fred Godtliebsen
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
type-1 diabetes
machine learning
feedforward neural networks
Bayesian neural networks
physical activities
Online Access:https://www.mdpi.com/2076-3417/10/22/8037

Internet

https://www.mdpi.com/2076-3417/10/22/8037

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