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mHealth Visual Discovery Dashboard.

Dezhi Fang1, Fred Hohman1, Peter Polack1

  • 1College of Computing, Georgia Tech.

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|January 23, 2018
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Summary
This summary is machine-generated.

Discovery Dashboard is a new visual analytics system for mobile health studies. It helps researchers analyze time-series data to find trends and patterns in real-time.

Keywords:
H.5.m [Information interfaces and presentation (e.g., HCI)]: MiscellaneousJ.3 [Computer Applications]: Life and Medical SciencesVisual analyticshealth informaticsmotif discoverytime series data

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Area of Science:

  • Health Informatics
  • Data Science
  • Mobile Health

Background:

  • Mobile medical field studies generate large volumes of time-series data.
  • Analyzing this complex data to extract meaningful insights presents significant challenges for researchers.
  • Existing tools often lack the flexibility and real-time capabilities needed for effective exploration.

Purpose of the Study:

  • To introduce Discovery Dashboard, a novel visual analytics system.
  • To provide researchers with interactive tools for exploring mobile health time-series data.
  • To facilitate hypothesis generation and pattern discovery in real-time.

Main Methods:

  • Development of a visual analytics system, Discovery Dashboard.
  • Integration of interactive exploration tools.
  • Inclusion of a data mining motif discovery algorithm.

Main Results:

  • The system enables real-time, in-browser exploration of time-series data.
  • Demonstrated application on data from a smoking cessation study with 52 participants.
  • Facilitates hypothesis formulation, trend identification, and pattern discovery.

Conclusions:

  • Discovery Dashboard enhances researchers' ability to understand complex mobile health data.
  • The system offers unprecedented user freedom and flexibility in data exploration.
  • Enables previously challenging or impossible analyses in a web-browser environment.