Section: 
Science articles
Science articlesDiagnostic of chronic tonsillopharyngitis with neural network algoritnm based on infrared energyinfirmation indicators of saliva
G. M. Portenko (1), E. G. Portenko (1), G. P. Shmatov (2)
(1) Federal State Budgetary Institution of Higher Vocational Education Tver State Medical University of the Ministry of Healthcare of Russia, Tver, Russia
(2) Federal State Budgetary Institution of Higher Vocational Education Tver State Technical University, Tver, Russia
UDK: 616.322-002.2-07: 616.316-008.8-073.584
DOI: https://doi.org/10.18692/1810-4800-2018-4-78-83
ABSTRACT
The authors developed a technology of effective diagnostics of chronic tonsillopharyngitis based on the principle of infrared spectrometry in combination with a probabilistic neural network based on energoinformational parameters of saliva sample.
Publication date:
06.08.2018
Keywords:
chronic tonsillopharyngitis, infrared spectrometry. neural network, diagnostics. For citation:
Portenko G. M., Portenko E. G., Shmatov G. P. Diagnostic of chronic tonsillopharyngitis with neural network algoritnm based on infrared energyinfirmation indicators of saliva. Rossiiskaya otorinolaringologiya. 2018;4:78–83. https://doi.org/10.18692/1810-4800-2018-4-78-83