DecisionFlow: Visual analytics for high-dimensional temporal event sequence data

IEEE Transactions on Visualization and Computer Graphics

Volumn 20, Issue 12, 2014, Pages 1783-1792

  Gotz, David ^a   Stavropoulos, Harry ^b  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Flow Diagrams; Information Visualization; Medical Informatics; Temporal Event Sequences; Visual Analytics

Indexed keywords

FLOW DIAGRAM; INFORMATION VISUALIZATION; MEDICAL INFORMATICS; TEMPORAL EVENT SEQUENCES; VISUAL ANALYTICS;

ADULT; COMPUTER INTERFACE; DECISION SUPPORT SYSTEM; ELECTRONIC HEALTH RECORD; FACTUAL DATABASE; FEMALE; HUMAN; MALE; MEDICAL INFORMATICS; PROCEDURES; TASK PERFORMANCE; THEORETICAL MODEL;

ADULT; DATABASES, FACTUAL; DECISION MAKING, COMPUTER-ASSISTED; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; MALE; MEDICAL INFORMATICS; MODELS, THEORETICAL; TASK PERFORMANCE AND ANALYSIS; USER-COMPUTER INTERFACE;

EID: 84910045176     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2014.2346682     Document Type: Article

References (34)

1. W. Aigner, S. Miksch, H. Schumann, and C. Tominski. Visualization of Time-Oriented Data. Springer, 1st edition, 2011.
2. W. Aigner, S. Miksch, B. Thurnher, and S. Biffl. PlanningLines: novel glyphs for representing temporal uncertainties and their evaluation. In 2013 17th International Conference on Information Visualisation, volume 0, pages 457-463, Los Alamitos, CA, USA, 2005. IEEE Computer Society.
3. P. Almagro, B. Barreiro, A. Ochoa de Echagüen, S. Quintana, M. Rodŕiguez Carballeira, J. L. Heredia, and J. Garau. Risk factors for hospital readmission in patients with chronic obstructive pulmonary disease. Respiration, 73(3):311-317, 2006.
4. P. Andr, M. L. Wilson, A. Russell, D. A. Smith, A. Owens, and M. Schraefel. Continuum: Designing timelines for hierarchies, relationships and scale. In Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology, UIST '07, page 101-110, New York, NY, USA, 2007. ACM.
5. R. Bade, S. Schlechtweg, and S. Miksch. Connecting time-oriented data and information to a coherent interactive visualization. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '04, page 105-112, New York, NY, USA, 2004. ACM.
6. M. Burch, F. Beck, and S. Diehl. Timeline trees: Visualizing sequences of transactions in information hierarchies. In Proceedings of the Working Conference on Advanced Visual Interfaces, AVI '08, page 75-82, New York, NY, USA, 2008. ACM.
7. S. B. Cousins and M. G. Kahn. The visual display of temporal information. Artificial Intelligence in Medicine, 3(3):341-357, 1991.
8. J. Fails, A. Karlson, L. Shahamat, and B. Shneiderman. A visual interface for multivariate temporal data: Finding patterns of events across multiple histories. In IEEE Symposium on Visual Analytics Science And Technology, page 167-174, 2006.
9. D. Gotz, F. Wang, and A. Perer. A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data. Journal of Biomedical Informatics, Online Early Access, 2014.
10. D. Gotz and K. Wongsuphasawat. Interactive intervention analysis. In Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, volume 2012, pages 274-280, Washington, DC, USA, 2012.
11. B. Harrison, R. Owen, and R. Baecker. Timelines: An interactive system for the collection and visualization of temporal data. In Grahpics Interface, 1994.
12. S. Hibino and E. A. Rundensteiner. User interface evaluation of a direct manipulation temporal visual query language. In Proceedings of the fifth ACM international conference on Multimedia, MULTIMEDIA '97, page 99-107, New York, NY, USA, 1997. ACM.
13. J. Jin and P. Szekely. Interactive querying of temporal data using a comic strip metaphor. In 2010 IEEE Symposium on Visual Analytics Science and Technology (VAST), pages 163-170, 2010.
14. G. M. Karam. Visualization using timelines. In Proceedings of the 1994 ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA '94, page 125-137, New York, NY, USA, 1994. ACM.
15. M. Krstajic, E. Bertini, and D. Keim. CloudLines: compact display of event episodes in multiple time-series. IEEE Transactions on Visualization and Computer Graphics, 17(12):2432-2439, 2011.
16. K. Minardo. Seeing sequences: How current temporal visualization techniques fail in complex domains. Technical Report 07-1225, The MITRE Corporation, 2007.
17. M. Monroe, R. Lan, H. Lee, C. Plaisant, and B. Shneiderman. Temporal event sequence simplification. IEEE Transactions on Visualization and Computer Graphics, 19(12):2227-2236, 2013.
18. M. Monroe, R. Lan, J. Morales del Olmo, B. Shneiderman, C. Plaisant, and J. Millstein. The challenges of specifying intervals and absences in temporal queries: a graphical language approach. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, page 2349-2358, New York, NY, USA, 2013. ACM.
19. P. Mui. Introducing Flow Visualization: visualizing visitor flow. Google Analytics Blog. http://analytics.blogspot.com/2011/10/introducing-flow-visualization.html, 2011. [Online; accessed 24-January-2014].
20. A. Perer and D. Gotz. Data-driven exploration of care plans for patients. In CHI '13 Extended Abstracts on Human Factors in Computing Systems, CHI EA '13, page 439-444, New York, NY, USA, 2013. ACM.
21. D. Phan, A. Paepcke, and T. Winograd. Progressive multiples for communication-minded visualization. In Proceedings of Graphics Interface 2007, GI '07, page 225-232, New York, NY, USA, 2007. ACM.
22. C. Plaisant, B. Milash, A. Rose, S. Widoff, and B. Shneiderman. LifeLines: visualizing personal histories. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 221-227, New York, NY, USA, 1996. ACM.
23. A. Rind, T. Lammarsch, W. Aigner, B. Alsallakh, and S. Miksch. TimeBench: a data model and software library for visual analytics of time-oriented data. IEEE Transactions on Visualization and Computer Graphics, 19(12):2247-2256, Dec. 2013.
24. B. Shneiderman and C. Plaisant. Strategies for evaluating information visualization tools: Multi-dimensional in-depth long-term case studies. In Proceedings of the 2006 AVI Workshop on BEyond Time and Errors: Novel Evaluation Methods for Information Visualization, BELIV '06, page 17, New York, NY, USA, 2006. ACM.
25. S. R. Steinhubl, B. A. Williams, J. Sun, R. J. Byrd, Z. S. Daar, S. Ebadol-lahi, and W. F. Stewart. Text and data mining of longitudinal electronic health Records (EHRs) in a primary care populiation can identify heart failure (HF) patients months to years prior to formal diagnosis using the framingham criteria. In AMA Scientific Sessions, Orlando, Florida, 2011.
26. K. Vrotsou, K. Ellegard, and M. Cooper. Everyday life discoveries: Mining and visualizing activity patterns in social science diary data. In Information Visualization, 2007. IV '07. 11th International Conference, pages 130-138, 2007.
27. K. Vrotsou, J. Johansson, and M. Cooper. ActiviTree: interactive visual exploration of sequences in event-based data using graph similarity. IEEE Transactions on Visualization and Computer Graphics, 15(6):945-952, Nov. 2009.
28. T. D. Wang, C. Plaisant, A. J. Quinn, R. Stanchak, S. Murphy, and B. Shneiderman. Aligning temporal data by sentinel events: discovering patterns in electronic health records. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '08, page 457-466, New York, NY, USA, 2008. ACM.
29. P. C. Wong, W. Cowley, H. Foote, E. Jurrus, and J. Thomas. Visualizing sequential patterns for text mining. In IEEE Symposium on Information Visualization, 2000. InfoVis 2000, pages 105-111, 2000.
30. K. Wongsuphasawat and D. Gotz. Outflow: Visualizing patient flow by symptoms and outcome. In IEEE VisWeek Workshop on Visual Analytics in Healthcare, Providence, Rhode Island, USA, 2011.
31. K. Wongsuphasawat and D. Gotz. Exploring flow, factors, and outcomes of temporal event sequences with the outflow visualization. Visualization and Computer Graphics, IEEE Transactions on, 18(12):26592668, 2012.
32. K. Wongsuphasawat, J. A. Guerra Gmez, C. Plaisant, T. D. Wang, M. Taieb-Maimon, and B. Shneiderman. LifeFlow: visualizing an overview of event sequences. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '11, page 1747-1756, New York, NY, USA, 2011. ACM.
33. K. Wongsuphasawat, C. Plaisant, M. Taieb-Maimon, and B. Shneider-man. Querying event sequences by exact match or similarity search: Design and empirical evaluation. Interacting with Computers, 24(2):55-68, Mar. 2012.
34. K. Wongsuphasawat and B. Shneiderman. Finding comparable temporal categorical records: A similarity measure with an interactive visualization. In Proceedings of the IEEE Symposium on Visual Analytics Science and Technology VAST, Atlantic City, NJ, USA, 2009.