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Silvia Miksch
Researcher at Vienna University of Technology
Publications - 274
Citations - 8686
Silvia Miksch is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Visual analytics & Visualization. The author has an hindex of 44, co-authored 264 publications receiving 7790 citations. Previous affiliations of Silvia Miksch include Stanford University & University of Vienna.
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Visualization of Time-Oriented Data
TL;DR: A structured survey of 101 different visualization techniques as a reference for scientists conducting related research as well as for practitioners seeking information on how their time-oriented data can best be visualized are presented.
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Comparing computer-interpretable guideline models: a case-study approach.
Mor Peleg,Samson W. Tu,Jonathan Bury,Paolo Ciccarese,John Fox,Robert A. Greenes,Richard Hall,Peter D. Johnson,Neill Jones,Anand Kumar,Silvia Miksch,Silvana Quaglini,Andreas Seyfang,Edward H. Shortliffe,Mario Stefanelli +14 more
TL;DR: Clinical guidelines components that the CIG community could adopt as standards are identified, including plan organization, expression language, conceptual medical record model, medical concept model, and data abstractions.
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The asgaard project: a task-specific framework for the application and critiquing of time-oriented clinical guidelines
TL;DR: This paper points out the precise domain-specific knowledge required by each method, such as the explicit intentions of the guideline designer, and presents a machine-readable language, called Asbru, to represent and to annotate guidelines based on the task-specific ontology.
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Visualizing time-oriented data-A systematic view
TL;DR: With the proposed categorization, this article tries to untangle the visualization of time-oriented data, which is such an important concern in Visual Analytics.
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Visual Methods for Analyzing Time-Oriented Data
TL;DR: This paper focuses on the unique role of the parameter time in the context of visually driven data analysis and describes event-based visualization as a promising means to adapt the visualization pipeline to needs and tasks of users.