Web-based querying and temporal visualization of longitudinal clinical data

  • Authors:

  • Amanda Richards;Martin J. O'Connor;Susana Martins;Michael Uehara-Bingen;Samson W. Tu;Amar K. Das

  • Affiliations:

  • Stanford Center for Biomedical Informatics Research, Stanford, CA;Stanford Center for Biomedical Informatics Research, Stanford, CA;Stanford Center for Biomedical Informatics Research, Stanford, CA;Stanford Center for Biomedical Informatics Research, Stanford, CA;Stanford Center for Biomedical Informatics Research, Stanford, CA;Stanford Center for Biomedical Informatics Research, Stanford, CA

  • Venue:
  • AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
  • Year:
  • 2011

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Abstract

We report on work in progress on the development of SWEETInfo (Semantic Web-Enabled Exploration of Temporal Information), a tool for querying and visualizing time-oriented clinical data. SWEETInfo is based on an open-source Web-based infrastructure that allows clinical investigators to import data and to perform operations on their temporal dimensions. The architecture combines Semantic Web standards, such as OWL and SWRL, with advanced Web development software, such as the Google Web Toolkit. User interaction with SWEETInfo creates OWL-based specifications of (1) data operations, such as filtering, grouping, and visualization, and (2) data pipelines for data analyses. Both of these can be shared with and adapted by other users via the Web. Our system meets the functional and nonfunctional specifications derived from the use cases. We will demo how SWEETInfoprovides non-technical users the ability to interactively define data pipelines for such complex temporal analyses.