The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020
The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020
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发表时间：
2020-09
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通讯作者：
C. Marling;Razvan C. Bunescu
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作者：
C. Marling;Razvan C. Bunescu
本文记录了OhioT1DM数据集，该数据集旨在促进和促进血糖水平预测的研究。它包含了12名1型糖尿病患者每人8周的连续葡萄糖监测、胰岛素、生理传感器和自我报告的生活事件数据。一个相关的图形软件工具使研究人员能够可视化的综合数据。本文详细介绍了数据集的内容和格式，并告诉感兴趣的研究人员如何获得它。OhioT1DM数据集于2018年首次发布，用于第一次血糖水平预测（BGLP）挑战。当时，该数据集的规模是目前的一半，仅包含6名1型糖尿病患者的数据。另外六人的数据将于2020年在第二届BGLP挑战赛中公布。本文包含并取代了记录原始数据集的论文。
This paper documents the OhioT1DM Dataset, which was developed to promote and facilitate research in blood glucose level prediction. It contains eight weeks' worth of continuous glucose monitoring, insulin, physiological sensor, and self-reported life-event data for each of 12 people with type 1 diabetes. An associated graphical software tool allows researchers to visualize the integrated data. The paper details the contents and format of the dataset and tells interested researchers how to obtain it. The OhioT1DM Dataset was first released in 2018 for the first Blood Glucose Level Prediction (BGLP) Challenge. At that time, the dataset was half its current size, containing data for only six people with type 1 diabetes. Data for an additional six people is being released in 2020 for the second BGLP Challenge. This paper subsumes and supersedes the paper which documented the original dataset.