Bernard, JürgenMay, ThorstenPehrke, DirkSchlomm, ThorstenKohlhammer, JörnStefan Bruckner and Timo Ropinski2017-04-222017-04-2220171017-4656https://diglib.eg.org:443/handle/10.2312/egm20171044https://doi.org/10.2312/egm.20171044Data-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.Visual Computing for Big Data Analysis in Prostate Cancer Research10.2312/egm.201710449-13