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Predicting postprandial glucose excursions using gaussian process regression.

作者信息

Duke David L, Thorpe Chuck

出版信息

J Diabetes Sci Technol. 2009 Mar 1;3(2):405-7. doi: 10.1177/193229680900300226.

DOI:10.1177/193229680900300226
PMID:20144374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2771528/
Abstract
摘要

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本文引用的文献

1
In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.计算机模拟临床前试验:1型糖尿病闭环控制的概念验证
J Diabetes Sci Technol. 2009 Jan;3(1):44-55. doi: 10.1177/193229680900300106.
2
Continuous glucose monitoring and intensive treatment of type 1 diabetes.1型糖尿病的持续血糖监测与强化治疗
N Engl J Med. 2008 Oct 2;359(14):1464-76. doi: 10.1056/NEJMoa0805017. Epub 2008 Sep 8.
3
The impact of non-model-related variability on blood glucose prediction.
Diabetes Technol Ther. 2007 Aug;9(4):363-71. doi: 10.1089/dia.2006.0039.
4
Psychological aspects of continuous glucose monitoring in pediatric type 1 diabetes.1型糖尿病患儿持续葡萄糖监测的心理方面
Pediatr Diabetes. 2006 Feb;7(1):32-8. doi: 10.1111/j.1399-543X.2006.00142.x.
5
Home blood glucose prediction: validation, safety, and efficacy testing in clinical diabetes.家庭血糖预测:临床糖尿病中的验证、安全性及疗效测试
Diabetes Technol Ther. 2005 Jun;7(3):487-96. doi: 10.1089/dia.2005.7.487.
6
Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes.1型糖尿病患者血糖浓度的非线性模型预测控制
Physiol Meas. 2004 Aug;25(4):905-20. doi: 10.1088/0967-3334/25/4/010.