View
11.373
Download
1
Category
Tags:
Preview:
DESCRIPTION
Citation preview
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
EventFlow
Megan MonroeKrist WongsuphasawatCatherine PlaisantBen ShneidermanJeff MillsteinSigfried Gold
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Temporal Event Sequences
Item Identifier Type of Event Time (Start/End)Patient #1 Stroke 11/3/2011Patient #2 Heart Attack 7/1/2011Patient #1 Diagnosed 11/5/2011
Data of the following format:
Examples:• Electronic Health Records• Process Flow• Web Logs
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Big Data Data Mining
Post-marketing surveillance has become a viable alternative to clinical trials (example: medical insurance databases).
Advantages: Cost effectiveNo direct effect on patients
Disadvantages: Data is messy and impreciseMust use very large datasets
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
US Army Pharmacovigilance Center, OTSG
14 million EHR’s(8 billion observations)
+Standard Statistical Software
(PVDAS, SAS, Systat, etc.)
Difficult to: Develop new questionsFind unusual event
patterns Understand dataset
holisticallyCommunicate findings
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
EventFlow Motivation• 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 http://www.cs.umd.edu/hcil/eventflow/
Point-Based EventsSTROKEADMITTEDDIAGNOSED
ASPIRIN
DIET
STEROIDS
Interval-Based Events
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Individual Patient Records
Patient #1
Time
Patient #2
Patient #3
Patient #4
….
….
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
EventFlow Display
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Aggregated Patient Records
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Aggregated Patient Records
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Interval Merging
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Interval Querying
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Query Scope: Presence EventsPoint/Point Point/Interval Interval/Interval
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Query Scope: Range Constraints
Point/Point Point/Interval Interval/Interval
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Query Scope: Absence Events
The absence of a point event necessarily implies that the absence spans the period of time between the previous presence event (or the beginning of the record) and the subsequent presence event (or the end of the record).
Point Absences
The absence of an interval event can occur for both a span of time, or at a point in time.
Interval Absences
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Query Scope: Absence EventsPoint/Point Point/Interval Interval/Interval
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Basic QueryingSubsequence:
Overlap:
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Advanced Querying
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
LABAs Demo
Research supported by NIH and Oracle http://www.cs.umd.edu/hcil/eventflow/
Next Steps
• Complete advanced query implementation
• User tests for advanced query interface
• Begin analysis of new datasets (Children’s Hospital)
EventFlow
Contact: madeyjay@umd.edu http://www.cs.umd.edu/hcil/eventflow/
Recommended