Diagnosis of rheumatoid arthritis with optical tomography: Comparison of classification methods

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

Diagnosis of rheumatoid arthritis with optical tomography: Comparison of classification methods

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

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Linear discriminant analysis (LDA) and support vector machines (SVM) are used to classify reconstructed absorption coefficient distributions of the proximal interphalangeal joints as affected or not affected by rheumatoid arthritis. The performance of each classification method is quantified using the leave-n-out method. LDA is shown to yield high sensitivities, while SVM yields high specificities.

Original language	English (US)
Title of host publication	Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC)
State	Published - 2010

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@inproceedings{aa6c1c5e28574fca9ab569017df55c47,

title = "Diagnosis of rheumatoid arthritis with optical tomography: Comparison of classification methods",

abstract = "Linear discriminant analysis (LDA) and support vector machines (SVM) are used to classify reconstructed absorption coefficient distributions of the proximal interphalangeal joints as affected or not affected by rheumatoid arthritis. The performance of each classification method is quantified using the leave-n-out method. LDA is shown to yield high sensitivities, while SVM yields high specificities.",

author = "Montejo, {Ludguier D.} and Montejo, {Julio D.} and Kim, {Hyun Keol} and Netz, {Uwe J.} and Klose, {Christian D.} and Sabine Blaschke and Zwaka, {P. A.} and M{\"u}ller, {Gerhard A.} and J{\"u}rgen Beuthan and Andreas Hielscher",

year = "2010",

language = "English (US)",

booktitle = "Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC)",

}

TY - GEN

T1 - Diagnosis of rheumatoid arthritis with optical tomography: Comparison of classification methods

AU - Montejo, Ludguier D.

AU - Montejo, Julio D.

AU - Kim, Hyun Keol

AU - Netz, Uwe J.

AU - Klose, Christian D.

AU - Blaschke, Sabine

AU - Zwaka, P. A.

AU - Müller, Gerhard A.

AU - Beuthan, Jürgen

AU - Hielscher, Andreas

PY - 2010

Y1 - 2010

N2 - Linear discriminant analysis (LDA) and support vector machines (SVM) are used to classify reconstructed absorption coefficient distributions of the proximal interphalangeal joints as affected or not affected by rheumatoid arthritis. The performance of each classification method is quantified using the leave-n-out method. LDA is shown to yield high sensitivities, while SVM yields high specificities.

AB - Linear discriminant analysis (LDA) and support vector machines (SVM) are used to classify reconstructed absorption coefficient distributions of the proximal interphalangeal joints as affected or not affected by rheumatoid arthritis. The performance of each classification method is quantified using the leave-n-out method. LDA is shown to yield high sensitivities, while SVM yields high specificities.

M3 - Conference contribution

BT - Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC)

ER -

Diagnosis of rheumatoid arthritis with optical tomography: Comparison of classification methods

Abstract

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