iEpi:收集、调整和利用流行病学相关数据的端到端解决方案

Mohammad S. Hashemian, Dylan L. Knowles, J. Calver, Weicheng Qian, Michael C. Bullock, S. Bell, R. Mandryk, N. Osgood, Kevin G. Stanley
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引用次数: 40

摘要

智能手机有可能彻底改变健康监测和分娩方式。个人健康设备和系统得到了极大的关注,以帮助个人和医疗从业者监测健康和治疗依从性。从这些系统收集的数据对公共卫生工作者和流行病学家也具有重要价值。但是,个人和公共卫生应用程序对后端分析和补充数据的需求有所不同。在本文中,我们描述了iEpi,一个端到端系统,用于通过智能手机收集、分析和利用上下文微数据,用于流行病学和公共卫生应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
iEpi: an end to end solution for collecting, conditioning and utilizing epidemiologically relevant data
Smartphones have the potential to revolutionize health monitoring and delivery. Significant attention has been given to personal health devices and systems to help individuals and medical practitioners monitor health and treatment compliance. The data collected from these systems also has significant value to public health workers and epidemiologists. However, requirements for backend analysis and supplemental data differ between personal and public health applications. In this paper we describe iEpi, an end-to-end system for collecting, analyzing, and utilizing contextual microdata through smartphones for epidemiological and public health applications.
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