Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring

Continuous glucose monitoring (CGM) devices could be useful for real-time management of diabetes therapy. In particular, CGM information could be used in real time to predict future glucose levels in order to prevent hypo-/hyperglycemic events. This article proposes a new online method for predictin...

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Bibliographic Details

Published in:	Diabetes technology & therapeutics Vol. 12; no. 1; p. 81
Main Authors:	Pérez-Gandía, C, Facchinetti, A, Sparacino, G, Cobelli, C, Gómez, E J, Rigla, M, de Leiva, A, Hernando, M E
Format:	Journal Article
Language:	English
Published:	United States 01.01.2010
Subjects:	Algorithms Biosensing Techniques Blood Glucose - analysis Equipment Design Humans Hydrogen-Ion Concentration Monitoring, Ambulatory - instrumentation Monitoring, Ambulatory - methods Neural Networks (Computer) Predictive Value of Tests
ISSN:	1557-8593, 1557-8593
Online Access:	Get more information
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