Cannon LaMont, Garcia Cesar Augusto Vargas, Piovoso Michael J, Zurakowski Ryan
University of Delaware Biomedical Engineering Department, Newark, DE 19716, USA.
University of Delaware Electrical and Computer Engineering Department Newark, DE 19716, USA.
Proc Am Control Conf. 2016 Jul;2016:1295-1300. doi: 10.1109/ACC.2016.7525096.
The sample frequency and volume of blood that can be drawn from a single patient is meticulously restricted under the human subject protection protocols established by an institutional review board (IRB). Consequently, the amount of samples that can be taken during a particular experiment is limited. In order to ensure an effective experiment design, considerations must be taken choosing when to take patient samples. A validated model of HIV-1 viral replication and 2-LTR production is exploited to find sub-optimal sampling schedules that maximize information content of the experiment outcome. This is done through a Forward Stepwise Regression (FSR) process with Kullback Liebler Divergence (KLD) as a selection criterion. Suboptimal schedules are found for an experiment taking four sample points over a possible span of 20 weeks. All schedules found with the FSR process contain significantly more information than both a uniform schedule and a schedule used in a previous experiment with 4 sample points. This work demonstrates the advantages of using KLD as a tool in the experiment design process to increase information content.
根据机构审查委员会（IRB）制定的人体受试者保护方案，从单个患者身上抽取的血液样本频率和量受到严格限制。因此，在特定实验中可采集的样本量是有限的。为了确保有效的实验设计，在选择何时采集患者样本时必须加以考虑。利用经过验证的HIV-1病毒复制和2-LTR产生模型来寻找次优采样方案，以使实验结果的信息含量最大化。这是通过以库尔贝克-莱布勒散度（KLD）为选择标准的前向逐步回归（FSR）过程来完成的。对于在可能长达20周的时间内采集四个样本点的实验，找到了次优方案。通过FSR过程找到的所有方案所包含的信息都明显多于均匀方案和先前一个有4个样本点的实验中所使用的方案。这项工作证明了在实验设计过程中使用KLD作为工具来增加信息含量的优势。
