Closed-loop minimal sampling method for determining viral-load minima during switching.
Closed-loop minimal sampling method for determining viral-load minima during switching.
复制标题
闭环最小采样方法用于确定切换过程中病毒载荷最小值。
DOI：
10.1109/acc.2010.5530993
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发表时间：
2010-07-29
期刊：
影响因子：
--
通讯作者：
Zurakowski R
中科院分区：
文献类型：
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作者：
Rosero-Garcia EE;Zurakowski R
在之前的工作中，我们开发了基于最佳控制的方法，旨在通过在治疗转换期间“预调节”病毒载量来最大程度地降低随后病毒学失败的风险。这些技术导致总病毒载量的短暂易感性，并且依赖于找到病毒载量下降的最小值并在病毒载量反弹之前进行转换。模型的不确定性需要采用闭环方法来寻找最小值。血液测量在金钱、不便和风险方面成本高昂。在本文中，我们引入了一种迭代参数估计方法来寻找病毒载量最小值，并测量测量噪声条件下寻找最小值的最优程度。我们根据恒定测量速率节省的样本数量来评估这种方法的成本节省。
In previous work, we have developed optimal-control based approaches that seek to minimize the risk of subsequent virological failure by ”pre-conditioning” the viral load during therapy switches. These techniques result in the transient susceptibility of the total viral load, and rely on finding the minimum of a dip in viral load and switching before viral load rebound. Model uncertainty necessitates a closed-loop approach to minimum-finding. Blood measurements are costly in terms of money, inconvenience and risk. In this paper, we introduce an iterative parameter estimation approach to find the viral load minimum, and measure the degree of optimality of minimum-seeking under conditions of measurement noise. We evaluate the cost-savings of this approach in terms of number of samples saved from a constant measurement rate.