Discovering Medical Knowledge Using Visual Analytics

dc.contributor.authorSturm, Werneren_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.authorHolzinger, Andreasen_US
dc.contributor.authorUllrich, Torstenen_US
dc.contributor.editorKatja Bühler and Lars Linsen and Nigel W. Johnen_US
dc.date.accessioned2015-09-14T04:48:59Z
dc.date.available2015-09-14T04:48:59Z
dc.date.issued2015en_US
dc.description.abstractDue 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.en_US
dc.description.sectionheadersMolecular Visualization and Visual Analyticsen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.doi10.2312/vcbm.20151210en_US
dc.identifier.isbn978-3-905674-82-8en_US
dc.identifier.issn2070-5786en_US
dc.identifier.pages71-81en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20151210en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.1.2 [Information Systems]en_US
dc.subjectUser/Machine Systemsen_US
dc.subjectHuman information processingen_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectBiology and geneticsen_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectMedical information systemsen_US
dc.titleDiscovering Medical Knowledge Using Visual Analyticsen_US
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