Visual Computing for Big Data Analysis in Prostate Cancer Research

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dc.contributor.authorBernard, Jürgenen_US
dc.contributor.authorMay, Thorstenen_US
dc.contributor.authorPehrke, Dirken_US
dc.contributor.authorSchlomm, Thorstenen_US
dc.contributor.authorKohlhammer, Jörnen_US
dc.contributor.editorStefan Bruckner and Timo Ropinskien_US
dc.date.accessioned2017-04-22T16:59:07Z
dc.date.available2017-04-22T16:59:07Z
dc.date.issued2017
dc.description.abstractData-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.en_US
dc.description.sectionheaders3rd Prize
dc.description.seriesinformationEG 2017 - Dirk Bartz Prize
dc.identifier.doi10.2312/egm.20171044
dc.identifier.issn1017-4656
dc.identifier.pages9-13
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egm20171044
dc.identifier.urihttps://doi.org/10.2312/egm.20171044
dc.publisherThe Eurographics Associationen_US
dc.titleVisual Computing for Big Data Analysis in Prostate Cancer Researchen_US
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