Event Sequence Visual Analysis
Under construction. More information will be posted soon. In the meantime, please browse the publications listed below to learn more about the work taking place in our lab as part of this project.
Publications
Expanding the Existing Cadence Event Sequence Visual Analysis Tool to Support the Standardized Data Model OMOP CDM
The differences in health data models obstruct the use of analytics tools on new datasets or at other institutions. This work presents …
Enabling Longitudinal Exploratory Analysis of Clinical COVID Data
As the COVID-19 pandemic continues to impact the world, data is being gathered and analyzed to better understand the disease. …
David Borland, Irena Brain, Karamarie Fecho, Emily Pfaff, Hao Xu, James Champion, Chris Bizon, David Gotz
August 2021
Visual Analytics in Healthcare
A Survey on Visual Analysis of Event Sequence Data
Event sequence data record series of discrete events in the time order of occurrence. They are commonly observed in a variety of …
July 2021
IEEE TVCG (Early Access)
Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison
Anomaly detection is a common analytical task that aims to identify rare cases that differ from the typical cases that make up the …
July 2021
IEEE TVCG (Early Access)
Selection-Bias-Corrected Visualization via Dynamic Reweighting
The collection and visual analysis of large-scale data from complex systems, such as electronic health records or clickstream data, has …
Visual Causality Analysis of Event Sequence Data
Causality is crucial to understanding the mechanisms behind complex systems and making decisions that lead to intended outcomes. Event …
January 2021
IEEE TVCG (Volume 27, Issue 2)
CarePre: An Intelligent Clinical Decision Assistance System
Clinical decision support systems are widely used to assist with medical decision making. However, clinical decision support systems …
February 2020
ACM Transactions on Computing for Healthcare (Volume 1, Issue 1)
Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data
The collection of large, complex datasets has become common across a wide variety of domains. Visual analytics tools increasingly play …
January 2020
IEEE TVCG (Volume 26, Issue 1)
Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation
Temporal event data are collected across a broad range of domains, and a variety of visual analytics techniques have been developed to …
January 2020
IEEE TVCG (Volume 26, Issue 1)
Visual Anomaly Detection in Event Sequence Data
Anomaly detection is a common analytical task that aims to identify rare cases that differ from the typical cases that make up the …
Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data
With the increase in collection of temporal event data, especially electronic health record (EHR) data, numerous different …
October 2019
Visual Analytics in Healthcare (VAHC) Workshop Posters
Visual Progression Analysis of Event Sequence Data
Event sequence data is common to a broad range of application domains, from security to health care to scholarly communication. This …
January 2019
IEEE TVCG (Volume 25, Issue 1)
Visual Cohort Queries for High-Dimensional Data: A Design Study
The large collections of electronic health data gathered by modern health institutions are increasingly being leveraged as a source of …
November 2018
Visual Analytics in Healthcare (VAHC) Workshop
EventThread: Visual Summarization and Stage Analysis of Event Sequence Data
Event sequence data such as electronic health records, a person’s academic records, or car service records, are ordered series of …
January 2018
IEEE TVCG (Volume 24, Issue 1)
Understanding Care Plans of Community Acquired Pneumonia Based on Sankey Diagram
A care plan is a sequence of medical interventions formulated for curing a specified disease. Doctors usually craft different care …
November 2016
Visual Analytics in Healthcare (VAHC) Workshop
Soft Patterns: Moving Beyond Explicit Sequential Patterns During Visual Analysis of Longitudinal Event Datasets
Reflecting the growing importance of longitudinal and sequential event analysis to many fields, researchers have proposed a variety of …
DecisionFlow: Visual Analytics for High-Dimensional Temporal Event Sequence Data
Temporal event sequence data is increasingly commonplace, with applications ranging from electronic medical records to financial …
Data-driven exploration of care plans for patients
CareFlow is a novel visual analytics tool designed to help doctors devise a care plan for their patient. Using historical outcomes from …
April 2013
ACM CHI Conference on Human Factors in Computing Systems, Extended Abstracts
Visualizations to Support Patient-Clinician Communication of Care Plans
CareFlow is a novel system designed to help doctors and patients communicate about possible care plans and their outcomes. Using …
Exploring Flow, Factors, and Outcomes of Temporal Event Sequences with the Outflow Visualization
Event sequence data is common in many domains, ranging from electronic medical records (EMRs) to sports events. Moreover, such …
Interactive Intervention Analysis
Disease progression is often complex and seemingly unpredictable. Moreover, patients often respond in dramatically different ways to …
Outflow: Visualizing Patient Flow by Symptoms and Outcome
Electronic Medical Record (EMR) databases contain a large amount of temporal events such as diagnosis dates for various symptoms. …