The reveal of a set of informative features in the task of diagnosis on a base of exhaled air absorption spectra  analysis using nonparametric algorithms of pattern recognition

A. P. Serykch; Yu. V. Kistenev; A. V. Borisov

doi:10.1117/12.2225612

15 December 2015 The reveal of a set of informative features in the task of diagnosis on a base of exhaled air absorption spectra analysis using nonparametric algorithms of pattern recognition

A. P. Serykch, Yu. V. Kistenev, A. V. Borisov

Author Affiliations +

Proceedings Volume 9810, International Conference on Atomic and Molecular Pulsed Lasers XII; 981021 (2015) https://doi.org/10.1117/12.2225612
Event: XII International Conference on Atomic and Molecular Pulsed Lasers, 2015, Tomsk, Russian Federation

Abstract

The informative complex of the features in the task of diagnosis on a base of exhaled air absorption spectra analysis based on the training sequences using nonparametric algorithm of pattern recognition "k-nearest neighbors" and ordered enumeration algorithms characteristics and validation had been revealed.

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A. P. Serykch, Yu. V. Kistenev, and A. V. Borisov "The reveal of a set of informative features in the task of diagnosis on a base of exhaled air absorption spectra analysis using nonparametric algorithms of pattern recognition", Proc. SPIE 9810, International Conference on Atomic and Molecular Pulsed Lasers XII, 981021 (15 December 2015); https://doi.org/10.1117/12.2225612

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