4. Temporal summaries can be brought forth to see distribution of multiple events over time. | 5. A final zoom into the timeline allows analysts to examine the events in detail. |
Video |
Description |
.mp4 Format |
|
Medical Scenario:Some small percentage of population (1%-7%) experience reduced renal function after infusion of radiographic contrast material such as iodine-based agents. To monitor patients' renal status, serum creatinine value in blood is tested. High creatinine readings indicates reduction in renal function.
Demo Summary:This demonstration shows how to use the main features of Lifelines2 to find patients who experience reduced renal function as a result of adverse radiology contrast procedures. |
(.mp4) | ||
Medical Scenario:Heparin-induced thrombocytopenia (HIT) is characterized by >50% of platelet counts within 5-9 days after exposure to heparin. This is a dangerous condition. Physicians are interested in two questions: (1) Do HIT patients tend to stay in ICU longer? (2) How effective is the drug Argatroaan for HIT patients?
Demo Summary:This demonstration shows how to flexibly create groups and compare them using temporal summaries. We assume viewers are already familiar with the basic features of Lifelines2. |
(.mp4) |
Journal paper on Lifelines2, with description of quasi-final interface
Taowei David Wang, Catherine Plaisant, Ben Shneiderman, Neil Spring, David Roseman, Greg
Marchand, Vikramjit Mukherjee,
and Mark Smith.
Temporal Summaries: Supporting Temporal
Categorical Searching, Aggregation and Comparison,
IEEE Transactions on Visualization and Computer Graphics, 15(6), 1049-1056,
November/December 2009.
Initial CHI paper Taowei David Wang, Catherine Plaisant, Alex Quinn, Roman Stanchak, Ben Shneiderman, and Shawn Murphy. Aligning Temporal Data by Sentinel Events: Discovering Patterns in Electronic Health Records, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2008).
Description of novel temporal search algorithm
Taowei David Wang,
Amol Deshpande, and Ben Shneiderman,
A Temporal Pattern Search Algorithm for Personal History Event Visualization,
IEEE Transactions on Knowledge and Data Engineering, vol.PP, no.99 (2009).
Design guidelines and description of process model for analysis of temporal
categorical data
Taowei David Wang, Krist Wongsuphasawat, Catherine Plaisant, and Ben Shneiderman,
Visual Information Seeking in Multiple Electronic Health Records: Design
Recommendations and a Process Model, Proceedings of the 1st ACM International
Informatics Symposium (IHI '10) (2010) 46-55.
Survey of visualization techniques for EHR data
Alexander Rind, Wolfgang Aigner, Silvia Miksch,
Taowei David Wang, Krist Wongsuphasawat, Catherine Plaisant, and Ben
Shneiderman,
Interactive Information Visualization for Exploring and
Querying Electronic Health Records: a Systematic Review.
Phuong Ho, Taowei David Wang, Krist Wongsuphasawat, Catherine Plaisant, Ben Shneiderman, Mark Smith, and David Roseman, Monitoring and Improving Quality of Care with Interactive Exploration of Temporal Patterns in Electronic Health Records .
Short paper for small local workshop
Taowei David Wang, Krist Wongsuphasawat, Catherine Plaisant, and Ben Shneiderman,
Exploratory Search Over Temporal Event Sequences: Novel Requirements,
Operations, and a Process Model, Proceedings of the third Workshop
on Human-Computer Interaction and Information Retrieval, 2009.
PhD Thesis dissertation on LifeLines2
Taowei David Wang,
Interactive Visualization Techniques for Searching Temporal Categorical Data,
Ph.D. Dissertation from the Department of Computer Science, May, 2010.
[available in UMD
Dissertation Archive]
We thank the National Institutes of Health (Grant RC1CA147489-02), the Washington Hospital Center and Harvard Medical School - Partners HealthCare for their partial support.
LifeFlow: Visualization for Aggregated of Event Sequences over time.
Similan: Similarity search of temporal categorical data.
Lifelines: Visualizing patient records, criminal records, and personal histories.
PatternFinder: integrated interface for visual query and result-set visualization for search and discovery of temporal patterns within multivariate and categorical data sets.
PatternFinder in Azyxxi: Temporal Query Formulation and Result Visualization in Action
Personal Medical Devices Workshop: Increasing Patient Healthcare Participation (June 3, 2004)
Interactive Visual Exploration of Electronic Health Records (May 30, 2008)
Visualization for Electronic Health Records: Promoting Patient-Centered Cognitive Support for Physician Decision-Making (July 6, 2010)
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