论文标题
1型糖尿病的胰岛素需求中的时间模式
Temporal patterns in insulin needs for Type 1 diabetes
论文作者
论文摘要
1型糖尿病（T1D）是一种慢性病，人体几乎没有产生胰岛素，这是细胞使用血糖（BG）进行能量并调节体内BG水平所需的激素。找到正确的胰岛素剂量和时间仍然是一项复杂，具有挑战性且尚未解决的控制任务。在这项研究中，我们使用OpenAPS数据共享数据集（这是在现实生活中收集的广泛数据集）来发现受胰岛素需求中的时间模式，这是由诸如碳水化合物等知名因素以及潜在的新因素所驱动的。我们利用各种时间序列技术使用矩阵配置文件和多变量聚类来发现此类模式。我们越了解T1D和影响胰岛素需求的因素，就越能为建立T1D处理的数据驱动技术做出贡献。
Type 1 Diabetes (T1D) is a chronic condition where the body produces little or no insulin, a hormone required for the cells to use blood glucose (BG) for energy and to regulate BG levels in the body. Finding the right insulin dose and time remains a complex, challenging and as yet unsolved control task. In this study, we use the OpenAPS Data Commons dataset, which is an extensive dataset collected in real-life conditions, to discover temporal patterns in insulin need driven by well-known factors such as carbohydrates as well as potentially novel factors. We utilised various time series techniques to spot such patterns using matrix profile and multi-variate clustering. The better we understand T1D and the factors impacting insulin needs, the more we can contribute to building data-driven technology for T1D treatments.
