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Analysis of Neurosurgical Pathologies Using Bayesian Recognition Procedures for Indicators of Surface Plasmon Resonance in the Aggregation of Blood Cells

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Cybernetics and Systems Analysis Aims and scope

Abstract

The use of Bayesian recognition procedure for surface plasmon resonance with the addition of verapamil hydrochloride and ketamine to the blood in the analysis of neurosurgical tumor pathologies significantly improved recognition compared to pure blood samples. An analysis of the difference in such pathologies due to the method of surface plasmon resonance with the addition of ketamine made it possible to improve the results of recognition of pathologies as compared with the method of the modified erythrocyte sedimentation rate.

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Authors and Affiliations

  1. State Institution “Romodanov Neurosurgery Institute,”, National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine

    N. Ya. Gridina

  2. V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    A. M. Gupal & A. L. Tarasov

  3. V. E. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Yu. V. Ushenin

Authors
  1. N. Ya. Gridina
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  2. A. M. Gupal
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  3. A. L. Tarasov
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  4. Yu. V. Ushenin
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Corresponding author

Correspondence to N. Ya. Gridina.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 4, July–August, 2020, pp. 35–45.

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Gridina, N.Y., Gupal, A.M., Tarasov, A.L. et al. Analysis of Neurosurgical Pathologies Using Bayesian Recognition Procedures for Indicators of Surface Plasmon Resonance in the Aggregation of Blood Cells. Cybern Syst Anal 56, 550–558 (2020). https://doi.org/10.1007/s10559-020-00271-4

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  • DOI: https://doi.org/10.1007/s10559-020-00271-4

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