Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/49284
Title: IMPROVING HEMODIALYSIS TREATMENT: MODELING, EXPERIMENTAL DESIGN, AND CLINICAL STUDIES
Authors: VAIBHAV MAHESHWARI
Keywords: Hemodialysis, Mathematical Modeling, Exercise, Clinical Study, Design of Experiments, Multi-objective optimization
Issue Date: 31-Jul-2013
Source: VAIBHAV MAHESHWARI (2013-07-31). IMPROVING HEMODIALYSIS TREATMENT: MODELING, EXPERIMENTAL DESIGN, AND CLINICAL STUDIES. ScholarBank@NUS Repository.
Abstract: Improving the toxin removal is a bottleneck for improvement of Hemodialysis patient outcome. Before we look at improved removal, it is important to understand the existing resistance in toxin removal. In this thesis, the resistance has been identified via mathematical modeling, and it is hypothesized that this resistance can be overcome by intra-dialytic exercise. A clinical study is carried out to test the hypothesis. It is suggested that increase in body core temperature is a major factor which can improve the toxin removal. The model based hypotheses are dependent on model fidelity. To improve the model prediction, it is important to have good model parameters which can be estimated by good data. In this context, model based design of experiments (MBDoE) techniques would be effective. However, the existing MBDoE techniques suffer from inherent drawback of correlation. This work proposed a solution (MOO based DoE).
URI: http://scholarbank.nus.edu.sg/handle/10635/49284
Appears in Collections:Ph.D Theses (Open)

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