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7a.007.DU - Novel Methods for Data Integration and Information Extraction over Complex Heterogeneous Data

Project - Summary

  • Developing innovative big data approach for extracting, integrating, visualizing, and analyzing big data sets and for helping researchers gain knowledge from the large amount of data related to business, heath care, and scientific research activities.
  • In particular, investigating and developing data analytic methods for discovering and visualizing physical activity patterns for COPD patients in real-time digital monitoring data.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Yuan An PI (215) 895-2633 Drexel University
Siling Chen Student/Research Assistant Not available Not available Drexel University
Matthew Marschall Student/Research Assistant Not available Not available Drexel University
Nick Locantore Project mentor Not available GlaxoSmithKline (GSK)
Matthew Allinder Project mentor Not available Not available GlaxoSmithKline (GSK)

Project - Novelty of Approach

  • To develop novel machine learning methods to discover relevant statements to enrich structured ontologies with linguistic evidence.
  • To develop novel distance learning approaches for discovering the semantics of new data sources and for extracting proprietary entities and relations using enriched ontologies.
  • To construct a graph knowledge base and develop efficient and effective methods for pattern discovery.

Project - Deliverables

1 Analyzing and visualizing patient activity data for discovering patterns for individual and cohort patients
2 Linking the physical activity data with clinical data and applying advanced data mining methods for discovering any correlations between physical activities and clinical progressions
3 Publications in relevant scientific research conferences or journals.

Project - Benefits to IAB

• Collaborated closely with IAB mentors to elicit their business needs.

• Applied advanced data mining and visualization methods for IAB data sets and problems.

• Generated useful and meaningful patterns for IAB applications.

Project - Presentation Video

Project - Documents

projects/year7/7a.007.du.txt · Last modified: 2019/08/20 10:44 by sally.johnson