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  4. A visual-interactive system for prostate cancer cohort analysis
 
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2015
Journal Article
Title

A visual-interactive system for prostate cancer cohort analysis

Abstract
A long-term goal in prostate cancer research is a sound prognosis prior to surgery, and as a consequence, data-centered research is becoming increasingly important. Currently, it takes several days to define meaningful cohorts by manually selecting patients from health record systems and performing statistical hypothesis tests with cohorts. The authors developed an efficient and effective visual-interactive system for the definition and analysis of patient cohorts. The system provides an overview of large sets of patient records and allows medical researchers to interactively drill down to relevant patient cohorts. In addition, a guidance concept helps them identify interesting relations between defined cohorts and rich sets of attributes available in the patient records. The system increases the efficiency of the researchers' analytical workflow by reducing the temporal effort from days to minutes.
Author(s)
Bernard, Jürgen
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Sessler, David  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
May, Thorsten  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Schlomm, Thorsten
University Medical Center Hamburg-Eppendorf
Pehrke, Dirk
University Medical Center Hamburg-Eppendorf
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Journal
IEEE Computer Graphics and Applications  
DOI
10.1109/MCG.2015.49
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Business Field: Visual decision support

  • Business Field: Digital society

  • Research Line: Human computer interaction (HCI)

  • Research Line: Modeling (MOD)

  • computer graphics

  • information visualization

  • Visual analytics

  • interactive visualization

  • health care

  • medical visualization

  • electronic patient records

  • time series analysis

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