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

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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.

© 2010 Optical Society of America

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