Discovering Medical Knowledge Using Visual Analytics – a survey on methods for systems biology and *omics data

Werner Sturm; Tobias Schreck; Andreas Holzinger; Torsten Ullrich

doi:10.2312/vcbm.20151210

Discovering Medical Knowledge Using Visual Analytics – a survey on methods for systems biology and *omics data

Werner Sturm, Tobias Schreck, Andreas Holzinger, Torsten Ullrich

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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

Original language	English
Title of host publication	VCBM 2015: Eurographics Workshop on Visual Computing for Biology and Medicine (2015)
Publisher	Eurographics - European Association for Computer Graphics
Pages	71-81
ISBN (Electronic)	978-3-905674-82-8
DOIs	https://doi.org/10.2312/vcbm.20151210
Publication status	Published - 2015
Event	Konferenz VCBM: VCBM 2015 - Chester, United Kingdom Duration: 14 Sept 2015 → 15 Sept 2015

Conference

Conference	Konferenz VCBM
Country/Territory	United Kingdom
City	Chester
Period	14/09/15 → 15/09/15

Keywords

Health Informatics
Visual Analytics
Large Data Sets
Hospital Data
Knowledge Discovery

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)
Theoretical

Access to Document

10.2312/vcbm.20151210

DiscoveringMedicalKnowledgeUsingVisualAnalytics.pdfFinal published version, 1.32 MB

Cite this

Sturm, W., Schreck, T., Holzinger, A., & Ullrich, T. (2015). Discovering Medical Knowledge Using Visual Analytics – a survey on methods for systems biology and *omics data. In VCBM 2015: Eurographics Workshop on Visual Computing for Biology and Medicine (2015) (pp. 71-81). Eurographics - European Association for Computer Graphics. https://doi.org/10.2312/vcbm.20151210

Discovering Medical Knowledge Using Visual Analytics – a survey on methods for systems biology and *omics data. / Sturm, Werner; Schreck, Tobias ; Holzinger, Andreas et al.
VCBM 2015: Eurographics Workshop on Visual Computing for Biology and Medicine (2015). Eurographics - European Association for Computer Graphics, 2015. p. 71-81.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Sturm, W, Schreck, T , Holzinger, A & Ullrich, T 2015, Discovering Medical Knowledge Using Visual Analytics – a survey on methods for systems biology and *omics data. in VCBM 2015: Eurographics Workshop on Visual Computing for Biology and Medicine (2015). Eurographics - European Association for Computer Graphics, pp. 71-81, Konferenz VCBM, Chester, United Kingdom, 14/09/15. https://doi.org/10.2312/vcbm.20151210

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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",

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Discovering Medical Knowledge Using Visual Analytics – a survey on methods for systems biology and *omics data

Abstract

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

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Cite this