Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes—An In Silico Proof-of-Concept

Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes—An In Silico Proof-of-Concept

In the daily management of type 1 diabetes (T1D), determining the correct insulin dose to be injected at meal-time is fundamental to achieve optimal glycemic control. Wearable sensors, such as continuous glucose monitoring (CGM) devices, are instrumental to achieve this purpose. In this paper, we sh...

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Bibliographic Details
Main Authors: Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Pantelis Georgiou, Pau Herrero
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
continuous glucose monitoring
decision support systems
machine learning
type 1 diabetes
gradient boosted trees
postprandial glycaemia
Online Access:https://www.mdpi.com/1424-8220/19/14/3168

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