Literature DB >> 11942997

A chaotic model for tight diabetes control.

T A Holt1.   

Abstract

The principles of non-linear dynamics ('chaos') theory may improve our understanding of the difficulties of blood glucose control in diabetes, may lead to alternative control strategies in selected individuals, and might even enlighten the issues involved in automated glucose control for the future. Possible experimental and mathematical methods of identifying chaotic behaviour in glucose profiles are briefly discussed. Advice based on this model is suggested for those aiming at tight blood glucose control.

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Year:  2002        PMID： 11942997     DOI： 10.1046/j.1464-5491.2002.00662.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN： 0742-3071            Impact factor:   4.359


  4 in total

1.  Methodology for quantifying fasting glucose homeostasis in type 2 diabetes: observed variability and lability.

Authors:  Nathan R Hill; Apostolos Tsapas; Peter Hindmarsh; David R Matthews
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

2.  The clinical applications of a systems approach.

Authors:  Andrew C Ahn; Muneesh Tewari; Chi-Sang Poon; Russell S Phillips
Journal:  PLoS Med       Date:  2006-05-23       Impact factor: 11.069

3.  Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models.

Authors:  Mirela Frandes; Bogdan Timar; Romulus Timar; Diana Lungeanu
Journal:  Sci Rep       Date:  2017-07-24       Impact factor: 4.379

4.  Some oscillatory phenomena of blood glucose regulation: An exploratory pilot study in pigs.

Authors:  Nils Kristian Skjaervold; Kathrine Knai; Nicolas Elvemo
Journal:  PLoS One       Date:  2018-04-02       Impact factor: 3.240
  4 in total

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