T
Taowei David Wang
Researcher at University of Maryland, College Park
Publications - 11
Citations - 1140
Taowei David Wang is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Information visualization & Visual analytics. The author has an hindex of 10, co-authored 11 publications receiving 1031 citations. Previous affiliations of Taowei David Wang include Partners HealthCare.
Papers
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Proceedings ArticleDOI
LifeFlow: visualizing an overview of event sequences
Krist Wongsuphasawat,John Alexis Guerra Gomez,Catherine Plaisant,Taowei David Wang,Meirav Taieb-Maimon,Ben Shneiderman +5 more
TL;DR: A novel interactive visual overview of event sequences called LifeFlow is introduced, which is scalable, can summarize all possible sequences, and represents the temporal spacing of the events within sequences.
Proceedings ArticleDOI
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Taowei David Wang,Catherine Plaisant,Alexander J. Quinn,Roman Stanchak,Shawn N. Murphy,Ben Shneiderman +5 more
TL;DR: An interactive visual tool is presented that complements query formulation by providing operations to align, rank and filter the results, and to visualize estimates of the intervals of validity of the data.
Book
Interactive Information Visualization to Explore and Query Electronic Health Records
Alexander Rind,Taowei David Wang,Wolfgang Aigner,Silvia Miksch,Krist Wongsuphasawat,Catherine Plaisant,Ben Shneiderman +6 more
TL;DR: This monograph is written for both scientific researchers and designers of future user interfaces for EHRs to help them understand this vital domain and appreciate the features and virtues of existing systems, so they can create still more advanced systems.
Journal ArticleDOI
Temporal Summaries: Supporting Temporal Categorical Searching, Aggregation and Comparison
Taowei David Wang,Catherine Plaisant,Ben Shneiderman,Neil Spring,D. Roseman,G. Marchand,V. Mukherjee,Mark S. Smith +7 more
TL;DR: Temporal summaries as mentioned in this paper dynamically aggregate events in multiple granularities (year, month, week, day, hour etc.) for the purpose of spotting trends over time and comparing several groups of records.
Journal ArticleDOI
Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations
TL;DR: This work presents the usage data of Lifelines2 (Wang et al. 2008), the information visualization system, and user comments, both collected over eight different medical case studies, and makes seven design recommendations to information visualization tools to explore EHR systems.