The kernel  construction for  the biomedical data classification  using support vector machine

D. A. Vrazhnov; V. V. Nikolaev; A. V. Shapovalov; E. A. Sandykova

doi:10.1117/12.2303630

16 April 2018 The kernel construction for the biomedical data classification using support vector machine

D. A. Vrazhnov, V. V. Nikolaev, A. V. Shapovalov, E. A. Sandykova

Proceedings Volume 10614, International Conference on Atomic and Molecular Pulsed Lasers XIII; 106141Y (2018) https://doi.org/10.1117/12.2303630
Event: XIII International Conference on Atomic and Molecular Pulsed Lasers, 2017, Tomsk, Russia

Abstract

The kernel construction for the biomedical data classification using Support Vector Machine based on Green function for Ornstein-Uhlenbeck equation is presented. Quantitative estimates of classification quality of exhaled air samples absorption spectra for patients with chronic obstructive pulmonary disease and healthy volunteers were carried out.

Citation Download Citation

D. A. Vrazhnov, V. V. Nikolaev, A. V. Shapovalov, and E. A. Sandykova "The kernel construction for the biomedical data classification using support vector machine", Proc. SPIE 10614, International Conference on Atomic and Molecular Pulsed Lasers XIII, 106141Y (16 April 2018); https://doi.org/10.1117/12.2303630

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