Abstract
This paper describes a new three-dimensional interactive visualization supporting large scale medical data analysis. We provide a simple and effective view so that the biomedical information can be easily perceived. Our visualization also embeds a novel mechanism to prevent disorientation by maintaining the orientation of objects and labels during the navigation. From the overview of patient population, users can select one, multiple patients or a group of patients to analyse further. We demonstrate our approach with the medical scientists working on a case study of childhood cancer patients, exemplifying how they could use the tool to confirm existing hypotheses and to discover new scientific insights.
| Original language | English |
|---|---|
| Title of host publication | Integration, Interaction, Innovation, Immersion, Incusion : OzCHI2012 : Advanced Technology Centre, Swinbourne University of Technology, Melbourne, Australia : 26th - 30th November |
| Publisher | ACM |
| Pages | 19-25 |
| Number of pages | 7 |
| ISBN (Print) | 9781450314381 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | Australian Computer-Human Interaction Conference - Duration: 26 Nov 2012 → … |
Conference
| Conference | Australian Computer-Human Interaction Conference |
|---|---|
| Period | 26/11/12 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- acute leukemia
- information visualization
- medical informatics
- visual analytics
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