Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models-Reference-Cited by-同舟云学术

Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models

Published:2017-11-07 Issue:11 Volume:12 Page:e0187754
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Contreras Iván^ORCID,Oviedo Silvia,Vettoretti Martina,Visentin Roberto,Vehí Josep

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference45 articles.

1. Artificial pancreas: Past, present, future;C Cobelli;Diabetes,2011

2. Diurnal pattern of insulin action in type 1 diabetes: implications for a closed-loop system;L Hinshaw;Diabetes,2013

3. Clinical accuracy of a continuous glucose monitoring system with an advanced algorithm;TS Bailey;J Diabetes Sci Technol,2015

4. Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic events;R Henry;Conf Proc. Annu Int Conf IEEE Eng Med Biol Soc IEEE Eng Med Biol Soc Annu Conf,2014

5. Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring;K Zarkogianni;Med Biol Eng Comput,2015

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