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DiseaseAtlas: multi-facet visual analytics for online disease articles
Jimeng Sun1, David Gotz, Nan Cao
1IBM Research, Switzerland.
Summary
Navigating online health information is challenging due to its page-oriented format. DiseaseAtlas is a visual analytic system designed to help users explore disease relationships, symptoms, and treatments more effectively.
Area of Science:
- Health Informatics
- Information Visualization
- Human-Computer Interaction
Background:
- Online health portals offer valuable content but present information in a page-oriented manner.
- This structure hinders users from grasping the broader information landscape and complex disease interconnections.
Purpose of the Study:
- To introduce DiseaseAtlas, a visual analytic system.
- To enhance user navigation and understanding of multi-dimensional relationships within disease-related documents.
Main Methods:
- Development of a visual analytic system, DiseaseAtlas.
- Utilizing semantic concepts like symptoms and treatments for relationship mapping.
- Demonstration through a case study.
Main Results:
- DiseaseAtlas facilitates navigation through extensive disease document sets.
- The system aids in understanding complex, multi-dimensional relationships between diseases.
- Unique aspects and capabilities of DiseaseAtlas are detailed.
Conclusions:
- DiseaseAtlas offers a novel approach to visualizing and navigating health information.
- The system improves comprehension of disease relationships for end-users.
- Visual analytics can address limitations in current online health information systems.
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