肿瘤生长和抗癌作用的离散时间药代动力学和药效学模型

Q2 Mathematics
F. Atici, Ngoc Nguyen, Kamala Dadashova, S. E. Pedersen, G. Koch
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引用次数: 14

摘要

我们研究了连续时间内描述肿瘤生长和抗癌作用的药代动力学-药效学(PK-PD)模型的h离散和h离散分数表示,考虑时间尺度h𝕅0,其中h > 0。由于血浆中药物浓度的测量是每小时进行一次,我们考虑h = 1/24,并以离散时间(即每小时)获得模型。然后,我们继续对h离散模型中的h离散nabla算子进行分数化,以得到作为nabla h分数阶差分方程系统的模型。为了解析解分数阶h离散系统,叙述并证明了离散分数阶微积分理论中的一些定理。在估计和得到模型参数的置信区间后,我们将模型的残差平方和值放在一张表中进行比较。研究表明,在连续时间条件下,新模型的拟合效果与现有模型一样好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pharmacokinetics and Pharmacodynamics Models of Tumor Growth and Anticancer Effects in Discrete Time
Abstract We study the h-discrete and h-discrete fractional representation of a pharmacokinetics-pharmacodynamics (PK-PD) model describing tumor growth and anticancer effects in continuous time considering a time scale h𝕅0, where h > 0. Since the measurements of the drug concentration in plasma were taken hourly, we consider h = 1/24 and obtain the model in discrete time (i.e. hourly). We then continue with fractionalizing the h-discrete nabla operator in the h-discrete model to obtain the model as a system of nabla h-fractional difference equations. In order to solve the fractional h-discrete system analytically we state and prove some theorems in the theory of discrete fractional calculus. After estimating and getting confidence intervals of the model parameters, we compare residual squared sum values of the models in one table. Our study shows that the new introduced models provide fitting as good as the existing models in continuous time.
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来源期刊
Computational and Mathematical Biophysics
Computational and Mathematical Biophysics Mathematics-Mathematical Physics
CiteScore
2.50
自引率
0.00%
发文量
8
审稿时长
30 weeks
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