Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
TOPIC ISLANDS—a wavelet-based text visualization system
Proceedings of the conference on Visualization '98
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
Iconic Techniques for Feature Visualization
VIS '95 Proceedings of the 6th conference on Visualization '95
Visualizing the non-visual: spatial analysis and interaction with information from text documents
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
ThemeRiver: Visualizing Theme Changes over Time
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
The InfoSky visual explorer: exploiting hierarchical structure and document similarities
Information Visualization
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
FacetMap: A Scalable Search and Browse Visualization
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
Multidimensional clusters in RadViz
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Semantic Visualization of Patient Information
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
FacetLens: exposing trends and relationships to support sensemaking within faceted datasets
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
“Search, Show Context, Expand on Demand”: Supporting Large Graph Exploration with Degree-of-Interest
IEEE Transactions on Visualization and Computer Graphics
Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115)
IEEE Transactions on Visualization and Computer Graphics
FacetAtlas: Multifaceted Visualization for Rich Text Corpora
IEEE Transactions on Visualization and Computer Graphics
DICON: Interactive Visual Analysis of Multidimensional Clusters
IEEE Transactions on Visualization and Computer Graphics
SolarMap: Multifaceted Visual Analytics for Topic Exploration
ICDM '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining
Visual clustering in parallel coordinates
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Evaluation of cluster identification performance for different PCP variants
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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A vast amount of electronic healthcare information is now available, ranging from online healthcare articles to patient electronic health records. These electronic data sets contain valuable information that can guide the decisions of both clinical professionals and patients. However, the data are often difficult to analyze, in part because they often contain multiple facets of information. For example, patient records have information on demographics, diagnoses, medications, lab results, and symptoms. To address this challenge, we have been exploring interactive visual analysis techniques that help visualize such healthcare information in an intuitive manner and enable the discovery of actionable insights. In this paper, we present a review of three different techniques. First, we describe a visual analytic system named FacetAtlas that helps users navigate a large set of disease-related documents and understand multidimensional relationships for key semantic concepts such as symptoms and treatments. We then present SolarMap, an alternative technique to FacetAtlas that adds visual representations of facet keyword clusters to expose greater information about semantic relationships. Finally, we describe the DICON (Dynamic Icon) visualization tool, which allows users to interactively view and refine similar multidimensional patient clusters.