16 April 2018 The kernel construction for the biomedical data classification using support vector machine
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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.
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D. A. Vrazhnov, V. V. Nikolaev, A. V. Shapovalov, 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); doi: 10.1117/12.2303630; https://doi.org/10.1117/12.2303630
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