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

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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

Originalsprache	englisch
Titel	VCBM 2015: Eurographics Workshop on Visual Computing for Biology and Medicine (2015)
Herausgeber (Verlag)	Eurographics - European Association for Computer Graphics
Seiten	71-81
ISBN (elektronisch)	978-3-905674-82-8
DOIs	https://doi.org/10.2312/vcbm.20151210
Publikationsstatus	Veröffentlicht - 2015
Veranstaltung	5th Eurographics Workshop on Visual Computing for Biology and Medicine: VCBM 2015 - Chester, Großbritannien / Vereinigtes Königreich Dauer: 14 Sept. 2015 → 15 Sept. 2015

Konferenz

Konferenz	5th Eurographics Workshop on Visual Computing for Biology and Medicine
Land/Gebiet	Großbritannien / Vereinigtes Königreich
Ort	Chester
Zeitraum	14/09/15 → 15/09/15

ASJC Scopus subject areas

Maschinelles Sehen und Mustererkennung

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)
Theoretical

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10.2312/vcbm.20151210

DiscoveringMedicalKnowledgeUsingVisualAnalytics.pdfEndgültige, publizierte Fassung, 1,32 MB

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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) (S. 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. S. 71-81.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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, S. 71-81, 5th Eurographics Workshop on Visual Computing for Biology and Medicine, Chester, Großbritannien / Vereinigtes Königreich, 14/09/15. https://doi.org/10.2312/vcbm.20151210

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title = "Discovering Medical Knowledge Using Visual Analytics – 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",

keywords = "Health Informatics, Visual Analytics, Large Data Sets, Hospital Data, Knowledge Discovery",

author = "Werner Sturm and Tobias Schreck and Andreas Holzinger and Torsten Ullrich",

year = "2015",

doi = "10.2312/vcbm.20151210",

language = "English",

pages = "71--81",

booktitle = "VCBM 2015: Eurographics Workshop on Visual Computing for Biology and Medicine (2015)",

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N2 - 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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KW - Health Informatics

KW - Visual Analytics

KW - Large Data Sets

KW - Hospital Data

KW - Knowledge Discovery

U2 - 10.2312/vcbm.20151210

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ER -

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

Abstract

Konferenz

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

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