EventFlow Presentation

18,698
-1

Published on

Published in: Technology, News & Politics
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
18,698
On Slideshare
0
From Embeds
0
Number of Embeds
5
Actions
Shares
0
Downloads
7
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

EventFlow Presentation

  1. 1. EventFlowMegan MonroeKristWongsuphasawatCatherine PlaisantBen ShneidermanJeff MillsteinSigfried Gold Research supported by NIH and Oracle
  2. 2. Temporal Event Sequences Data of the following format: Item Identifier Type of Event Time (Start/End) Patient #1 Stroke 11/3/2011 Patient #2 Heart Attack 7/1/2011 Patient #1 Diagnosed 11/5/2011 Examples: •Electronic Health Records • Process Flow • Web Logs Research supported by NIH and Oracle
  3. 3. Big Data Data MiningPost-marketing surveillance has become a viable alternativeto clinical trials (example: medical insurance databases). Advantages: Cost effective No direct effect on patients Disadvantages: Data is messy and imprecise Must use very large datasets Research supported by NIH and Oracle
  4. 4. US Army PharmacovigilanceCenter, OTSG 14 million EHR’s (8 billion observations) + Standard Statistical Software (PVDAS, SAS, Systat, etc.)Difficult to: Develop new questions Find unusual event patterns Understand dataset holistically Communicate findings Research supported by NIH and Oracle
  5. 5. EventFlowMotivation• Allow researchers to evaluate their data holistically - Have immediate visual access to data - Develop new questions/hypotheses - Make rapid adjustments to view and dataset• Facilitate communication about the data and findings• Integrate easily into existing systems (open source Java coding) Research supported by NIH and Oracle
  6. 6. Point-Based Events STROKE ADMITTED DIAGNOSEDInterval-Based Events ASPIRIN DIET STEROIDS Research supported by NIH and Oracle
  7. 7. Individual Patient Records TimePatient #1Patient #2Patient #3Patient #4…. …. Research supported by NIH and Oracle
  8. 8. EventFlowDisplay Research supported by NIH and Oracle
  9. 9. Aggregated Patient Records Research supported by NIH and Oracle
  10. 10. Aggregated Patient Records Research supported by NIH and Oracle
  11. 11. Interval Merging Research supported by NIH and Oracle
  12. 12. Interval Querying Research supported by NIH and Oracle
  13. 13. Query Scope: Presence EventsPoint/Point Point/Interval Interval/Interval Research supported by NIH and Oracle
  14. 14. Query Scope: Range ConstraintsPoint/Point Point/Interval Interval/Interval Research supported by NIH and Oracle
  15. 15. Query Scope: Absence EventsPoint AbsencesThe absence of a point event necessarily implies that the absence spans the period oftime between the previous presence event (or the beginning of the record) and thesubsequent presence event (or the end of the record).Interval AbsencesThe absence of an interval event can occur for both a span of time, or at a point in time. Research supported by NIH and Oracle
  16. 16. Query Scope: Absence EventsPoint/Point Point/Interval Interval/Interval Research supported by NIH and Oracle
  17. 17. Basic QueryingSubsequence:Overlap: Research supported by NIH and Oracle
  18. 18. Advanced QueryingResearch supported by NIH and Oracle
  19. 19. LABAsDemoResearch supported by NIH and Oracle
  20. 20. Next Steps• Complete advanced query implementation• User tests for advanced query interface• Begin analysis of new datasets (Children’s Hospital) Research supported by NIH and Oracle
  21. 21. EventFlowContact: madeyjay@umd.edu http://www.cs.umd.edu/hcil/eventflow/
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×