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Application of dynamic optimisation for planning a haemodialysis process

机译:动态优化在规划血液透析过程中的应用

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The aim of the study is to show that optimization tools can be used in planning the haemodialysis process in order to obtain the most effective treatment aimed at removing both urea and phosphorus. To this end we use the IV-compartment model of phosphorus kinetics. The use of the IV-compartment model of phosphorus kinetics forces us to apply new numerical tools which cope with a rebound phenomenon that can occur during haemodialysis. The proposed algorithm solves optimization problems with various constraints imposed on concentrations of urea and phosphorus. We show that the optimization tools are effective in planning haemodialysis processes aimed at achieving desired levels of urea and phosphorus concentrations at the end of these processes. One of the numerical experiments reported in the paper concerns patients data who experienced a rebound phenomenon during haemodialysis due to a low level of phosphorus concentration. In order to plan haemodialysis processes one should take into account the fact that these processes, in general, are described by different equations in different regions determined by phosphorus concentrations. This follows from the fact that mechanisms modelled by IV-compartment model are activated during dialysis. Therefore, advanced numerical tools have to be used in order to simulate and optimize these processes. The paper shows that these tools can be constructed and effectively applied in planning haemodialysis processes.
机译:该研究的目的是表明,优化工具可用于规划血液透析过程,以获得旨在去除尿素和磷的最有效的治疗方法。为此,我们使用磷动力学的IV隔室模型。磷动力学的IV隔室模型迫使我们应用新的数值工具,该工具应对血液透析期间可以发生的反弹现象。该算法解决了对尿素和磷浓度施加的各种约束的优化问题。我们表明优化工具在规划血液透析过程方面是旨在在这些过程结束时实现所需尿素和磷浓度的血液透析过程。本文报道的其中一个数值实验涉及由于磷浓度低,血液透析期间经历了反弹现象的患者数据。为了规划血液透析过程,应该考虑到这些过程通常通过磷浓度确定的不同区域中的不同方程来描述这些过程的事实。这是从IV隔室模型建模的机制在透析期间激活的事实。因此,必须使用先进的数控工具来模拟和优化这些过程。本文表明,可以在规划血液透析过程中构建和有效地构造这些工具。

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