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    Visual Computing for Big Data Analysis in Prostate Cancer Research

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    Date
    2017
    Author
    Bernard, Jürgen
    May, Thorsten
    Pehrke, Dirk
    Schlomm, Thorsten
    Kohlhammer, Jörn
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    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.
    BibTeX
    @inproceedings {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},
    DOI = {10.2312/egm.20171044}
    }
    URI
    http://dx.doi.org/10.2312/egm.20171044
    https://diglib.eg.org:443/handle/10.2312/egm20171044
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    Eurographics Association copyright © 2013 - 2021 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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