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首页> 外文期刊>Applied Soft Computing >A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives
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A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives

机译：基于基于基于基于基于基于间隙葡萄糖测量和他们的第一个衍生物的血糖动力学模型的回归

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This paper illustrates the development and the applicability of an Evolutionary Computation approach to enhance the treatment of Type-1 diabetic patients that necessitate insulin injections. In fact, being such a disease associated to a malfunctioning pancreas that generates an insufficient amount of insulin, a way to enhance the quality of life of these patients is to implement an artificial pancreas able to artificially regulate the insulin dosage. This work aims at extrapolating a regression model, capable of estimating the blood glucose (BG) through interstitial glucose (IG) measurements and their numerical first derivatives. Such an approach represents a viable preliminary stage in building the basic component of this artificial pancreas. In particular, considered the high complexity of the reciprocal interactions, an evolutionary-based strategy is outlined to extrapolate a mathematical relationship between BG and IG and its derivative. The investigation is carried out about the accuracy of personalized models and of a global relationship model for all of the subjects under examination. The discovered models are assessed through a comparison with other models during the experiments on personalized and global data. (C) 2019 Elsevier B.V. All rights reserved.
机译：本文说明了进化计算方法的开发和适用性，以增强需要胰岛素注射的1型糖尿病患者的治疗。事实上，与胰障碍胰腺相关的疾病，产生不足的胰岛素，一种提高这些患者的生活质量的方法是实施能够人工胰腺能够人工调节胰岛素剂量的人工胰腺剂。这项工作旨在推断出回归模型，能够通过间质葡萄糖（IG）测量和其数值第一衍生物估计血糖（BG）。这种方法代表了构建该人工胰腺的基本组分的可行初步阶段。特别地，考虑了往复相互作用的高复杂性，概述了基于进化的策略，以推断Bg和Ig之间的数学关系及其衍生物。调查是关于个性化模型的准确性和全球关系模型的考试的全球关系模型进行。通过与个性化和全球数据的实验期间与其他模型进行评估，通过比较来评估发现的模型。 （c）2019年Elsevier B.V.保留所有权利。

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