3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation

3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation

Abstract Background The challenges of glycaemic control in critically ill patients have been debated for 20 years. While glycaemic control shows benefits inter- and intra-patient metabolic variability results in increased hypoglycaemia and glycaemic variability, both increasing morbidity and mortali...

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Bibliographic Details
Main Authors: Vincent Uyttendaele, Jennifer L. Knopp, Shaun Davidson, Thomas Desaive, Balazs Benyo, Geoffrey M. Shaw, J. Geoffrey Chase
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BioMedical Engineering OnLine
Subjects:
Glycaemic control
Hyperglycaemia
Blood glucose
Insulin
Insulin sensitivity
Kernel density
Online Access:http://link.springer.com/article/10.1186/s12938-019-0720-8

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http://link.springer.com/article/10.1186/s12938-019-0720-8

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