SimVis: an interaction model for exploring clinical data

Authors:
Göran Falkman
Affiliations:
Chalmers University of Technology and Göteborg University, Göteborg, Sweden
Venue:
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Year:
2000

Citing 1
Cited 1

Principles of human-computer collaboration for knowledge discovery in science

Artificial Intelligence

Information visualisation in clinical Odontology: multidimensional analysis and interactive data exploration

Artificial Intelligence in Medicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present an interaction model for exploring clinical data, based on the computation of similarity measures. The model has been used in a tool (SimVis) that helps clinicians to classify and cluster clinical examination data. The user interaction is supported by the visualization of clusters and similarity measures. A first implementation of SimVis is described and discussed.