Visual Computing for Big Data Analysis in Prostate Cancer Research

Abstract
Data-centered research is becoming increasingly important in prostate cancer research where a long-term goal is a sound prognosis prior to surgery. We have developed a visual computing technology that contributes to this paradigm change in clinical research and practice for electronic health records (EHR) in this area. This visual-interactive system, developed in close collaboration with medical researchers, helps clinicians efficiently and effectively visualize single and multiple patient histories at a glance, create cohorts of patients for clinical tests, as well as generate and validate hypotheses.
Description

        
@inproceedings{
10.2312:egm.20171044
, booktitle = {
EG 2017 - Dirk Bartz Prize
}, editor = {
Stefan Bruckner and Timo Ropinski
}, title = {{
Visual Computing for Big Data Analysis in Prostate Cancer Research
}}, author = {
Bernard, Jürgen
and
May, Thorsten
and
Pehrke, Dirk
and
Schlomm, Thorsten
and
Kohlhammer, Jörn
}, year = {
2017
}, publisher = {
The Eurographics Association
}, ISSN = {
1017-4656
}, ISBN = {}, DOI = {
10.2312/egm.20171044
} }
Citation