title: [Visual analysis for an early detection of diabetic neuropathy].
abstract: Diabetic neuropathy is the most common long-term complication of diabetes mellitus. It comes along with significant nerve dysfunction, which is not reversible. Hence, it is essential to detect nerve fibre abnormalities as early as possible. In this paper, we investigate markers describing degradation of corneal nerves. We apply statistical computations and visual analysis to identify those variables of two clinical studies that separate DN patients from a control group. In this way, the diagnosis of DN patients is supported. The visual analysis is based on different representations visualizing both the statistical results and the gathered multi-variate data. The user can interactively manipulate the views, or select data that will be shown by further displays. In this way, the understanding of the data and its classification is supported. Ambiguous categorisations can be identified and grouped into a so-called "fuzzy group". For this group, further investigations are needed to decide about diabetic neuropathy.
authors.affiliation: Institut für Informatik, Universität Rostock.
authors.forename: M
authors.initials: M
authors.lastname: Röhlig
authors.affiliation: Institut für Informatik, Universität Rostock.
authors.forename: M
authors.initials: M
authors.lastname: Luboschik
authors.affiliation: Institut für Biostatistik und Informatik in der Medizin, Universität Rostock.
authors.forename: G
authors.initials: G
authors.lastname: Kundt
authors.affiliation: Augenklinik, Universität Rostock.
authors.forename: O
authors.initials: O
authors.lastname: Stachs
authors.affiliation: Augenklinik, Universität Rostock.
authors.forename: S
authors.initials: S
authors.lastname: Peschel
authors.affiliation: Augenklinik, Universität Rostock.
authors.forename: A
authors.initials: A
authors.lastname: Zhivov
authors.affiliation: Augenklinik, Universität Rostock.
authors.forename: R F
authors.initials: RF
authors.lastname: Guthoff
authors.affiliation: Translationszentrum für Regenerative Medizin (TRM), Universität Leipzig.
authors.forename: K
authors.initials: K
authors.lastname: Winter
authors.affiliation: Institut für Informatik, Universität Rostock.
authors.forename: H
authors.initials: H
authors.lastname: Schumann
mesh_terms: D003315:Cornea / Q000294:innervation* / Q000473:pathology*; D003627:Data Interpretation, Statistical; D003929:Diabetic Neuropathies / Q000473:pathology*; D042241:Early Diagnosis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D018613:Microscopy, Confocal / Q000379:methods*; D009887:Ophthalmoscopy / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D064232:Visual Analog Scale