Statistical Modeling of Aggregated Lifestyle and Blood Glucose Data in Type 1 Diabetes Patients

S. Skrøvseth, E. Årsand, R. Joakimsen, F. Godtliebsen
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引用次数: 5

Abstract

We describe how the mobile-phone based Few Touch application for self-management will be used by a significant number of patients with diabetes mellitus Type 1 to assemble a data set with blood glucose concentration time series and information about exercise, diet, and insulin medication. Currently work in progress, these data are intended to be utilized when building a statistical multi-scale model with the primary aim of making short-term forecasts of blood glucose concentration. The system can provide decision support regarding insulin injections in given situations in addition to describing and visualizing long-term variation and provide general information on the patient's medical situation.
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1型糖尿病患者汇总生活方式和血糖数据的统计建模
我们描述了基于手机的自我管理应用程序Few Touch将如何被大量1型糖尿病患者用于收集血糖浓度时间序列和运动、饮食和胰岛素药物信息的数据集。目前工作正在进行中,这些数据将用于建立统计多尺度模型,主要目的是对血糖浓度进行短期预测。除了描述和可视化长期变化外,该系统还可以在特定情况下提供有关胰岛素注射的决策支持,并提供有关患者医疗状况的一般信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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