Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics

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dc.contributor.authorLuboschik, Martinen_US
dc.contributor.authorRöhlig, Martinen_US
dc.contributor.authorKundt, Güntheren_US
dc.contributor.authorStachs, Oliveren_US
dc.contributor.authorPeschel, Sabineen_US
dc.contributor.authorZhivov, Andreyen_US
dc.contributor.authorGuthoff, Rudolf F.en_US
dc.contributor.authorWinter, Karstenen_US
dc.contributor.authorSchumann, Heidrunen_US
dc.contributor.editorM. Pohl and J. Robertsen_US
dc.date.accessioned2014-12-16T07:19:34Z
dc.date.available2014-12-16T07:19:34Z
dc.date.issued2014en_US
dc.description.abstractIn this paper, we describe a step-wise approach to utilize ophthalmic markers for detecting early diabetic neuropathy (DN), the most common long-term complication of diabetes mellitus. Our approach is based on the Visual Analytics Mantra: First, we statistically analyze the data to identify those variables that separate DN patients from a control group. Afterwards, we show the important separating variables individually, but also in the context of all variables regarding a pre-defined classification. By doing so, we support the understanding of the categorization in respect of the value distribution of variables. This allows for zooming, filtering and further analysis like deleting non-relevant variables that do not contribute to the definition of markers as well as deleting data records with false data values or false classifications. Finally, outliers are observed and investigated in detail. So, a third group of potential DN patients can be introduced. In this way, the detection of early DN can be effectively supported.en_US
dc.description.seriesinformationEuroVis Workshop on Visual Analyticsen_US
dc.identifier.isbn978-3-905674-68-2en_US
dc.identifier.urihttps://doi.org/10.2312/eurova.20141145en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectApplicationsen_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectH.5.0 [Information Interfaces and Presentation]en_US
dc.subjectGeneralen_US
dc.titleSupporting an Early Detection of Diabetic Neuropathy by Visual Analyticsen_US
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