Comparison of Classification Methods for the Detection of Rheumatoid Arthritis with Optical Tomography

Ludguier D. Montejo, Julio D. Montejo, Hyun Keol Kim, Uwe J. Netz, Christian D. Klose, Sabine Blaschke, P.A. Zwaka, Gerhard A. Müller, Jürgen Beuthan, Andreas Hielscher

Research output: Contribution to conferenceAbstract

Abstract

Using optical tomographic data from fingers affected by RA we compare the performance of 3 different classification methods. Linear discriminant and quadratic discriminant analysis methods yield high sensitivities while support-vector machine-based methods yield high specificities.
Original languageEnglish (US)
DOIs
StatePublished - 2010

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