DiaTrend:来自先进糖尿病技术的数据集,可用于开发新型分析解决方案
Temiloluwa Prioleau1,2, Abigail Bartolome3, Richard Comi4
1Dartmouth College, Department of Computer Science, Hanover, 03755, USA. tprioleau@dartmouth.edu.
Scientific data
|August 23, 2023
概括
"DiaTrend"数据集为糖尿病研究提供了有价值的临床级可穿戴数据. 这种开源资源有助于开发计算解决方案,以改善糖尿病管理和患者的治疗结果.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 数字健康数据对于推进医疗保健研究至关重要.
- 对糖尿病等特定疾病的临床级可穿戴数据很少.
- 开源数据集对于加速计算解决方案开发至关重要.
研究的目的:
- 介绍DiaTrend数据集,这是一个开源的临床级可穿戴数据集合.
- 促进对糖尿病相关问题的研究和计算解决方案.
- 支持开发用于慢性疾病管理的工具.
主要方法:
- 从可穿戴医疗设备收集密集的纵向数据.
- 包括连续血糖监测 (CGM) 和胰岛素数据.
- 数据来源于54名糖尿病患者,涵盖了27,561天的CGM和8,220天的胰岛素.
主要成果:
- "DiaTrend"数据集为糖尿病研究提供了一个全面的资源.
- 允许使用现实世界的临床级数据来研究糖尿病管理.
- 促进了糖尿病护理新型分析解决方案的开发.
结论:
- 该DiaTrend数据集解决了在糖尿病研究中对开源临床级数据的关键需求.
- 它将加速开发用于糖尿病管理的先进计算工具.
- 这种资源有可能减少糖尿病的负担,并提高门诊护理.
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