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  4. Discovering medical knowledge using visual analytics
 
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2015
Conference Paper
Title

Discovering medical knowledge using visual analytics

Title Supplement
A survey on methods for systems biology and *omics data
Abstract
Due to advanced technologies, the amount of biomedical data has been increasing drastically. Such large data sets might be obtained from hospitals, medical practices or laboratories and can be used to discover unknown knowledge and to find and reflect hypotheses. Based on this fact, knowledge discovery systems can support experts to make further decisions, explore the data or to predict future events. To analyze and communicate such a vast amount of information to the user, advanced techniques such as knowledge discovery and information visualization are necessary. Visual analytics combines these fields and supports users to integrate domain knowledge into the knowledge discovery process. This article gives a state-of-the-art overview on visual analytics reseach with a focus on the biomedical domain, systems biology and *omics data.
Author(s)
Sturm, Werner
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Schreck, Tobias
TU Graz CGV
Holzinger, Andreas
CBmed Graz / Med. Univ. Graz
Ullrich, Torsten  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Eurographics Workshop on Visual Computing for Biology and Medicine, EG VCBM 2015  
Conference
Workshop on Visual Computing for Biology and Medicine (VCBM) 2015  
DOI
10.2312/vcbm.20151210
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • data visualization

  • information visualization

  • biomedical computing

  • Business Field: Visual decision support

  • Research Line: Computer graphics (CG)

  • Research Line: Human computer interaction (HCI)

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