mHealth Visual Discovery Dashboard.

Dezhi Fang, Fred Hohman, Peter Polack, Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng Chau
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引用次数: 6

Abstract

We present Discovery Dashboard, a visual analytics system for exploring large volumes of time series data from mobile medical field studies. Discovery Dashboard offers interactive exploration tools and a data mining motif discovery algorithm to help researchers formulate hypotheses, discover trends and patterns, and ultimately gain a deeper understanding of their data. Discovery Dashboard emphasizes user freedom and flexibility during the data exploration process and enables researchers to do things previously challenging or impossible to do - in the web-browser and in real time. We demonstrate our system visualizing data from a mobile sensor study conducted at the University of Minnesota that included 52 participants who were trying to quit smoking.

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移动健康可视化发现仪表板。
我们提出了发现仪表板,一个可视化分析系统,用于探索移动医疗领域研究的大量时间序列数据。Discovery Dashboard提供交互式探索工具和数据挖掘主题发现算法,以帮助研究人员制定假设,发现趋势和模式,并最终深入了解他们的数据。Discovery Dashboard强调用户在数据探索过程中的自由和灵活性,使研究人员能够在web浏览器中实时地完成以前具有挑战性或不可能完成的事情。我们展示了我们的系统可视化数据,这些数据来自明尼苏达大学进行的一项移动传感器研究,其中包括52名试图戒烟的参与者。
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Ubiquitous Event Mining to Enhance Personal Health. Lessons from the Deployment of the SPIRIT App to Support Collaborative Care for Rural Patients with Complex Psychiatric Conditions. mHealth Visual Discovery Dashboard. ewrapper: Operationalizing engagement strategies in mHealth. SARA: A Mobile App to Engage Users in Health Data Collection.
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