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UDC 519.217.2+616.006
A.M. Gupal1, A.L. Tarasov2


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

gupalanatol@gmail.com

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

freearcher@ukr.net

BAYESIAN RECOGNITION PROCEDURES IN THE ANALYSIS OF BLOOD PLASMA
PROTEIN STRUCTURES ACCORDING TO LASER SPECTROGRAPH MEASUREMENTS
IN BRAIN TUMORS

Abstract. Application of Bayesian recognition procedures to the analysis of inflammatory processes in gliomas is considered. Parameters of protein structures of blood plasma in gliomas, metastases, and cerebral concussion obtained by a laser spectrograph are analyzed. A comparative analysis is carried out for the results of recognition on the basis of protein structures in relation to the parameters of surface plasmon resonance and modified erythrocyte sedimentation rate in gliomas.

Keywords: Bayesian recognition procedure, brain gliomas, metastases, craniocerebral concussion, laser spectrograph, protein structures of blood plasma.


FULL TEXT

REFERENCES

  1. Gridina N.Ya., Gupal A.M., Draguntsova N.G., Tarasov A.L., Chunikhin A.Yu. Development of a method for programmatic analysis of the redistribution of protein structures in patients with brain gliomas. Komp'yuternaya matematika. 2016. N 1. P. 119–124. URL: http://dspace.nbuv.gov.ua/handle/123456789/68405.

  2. Gridina N.Ya., Gupal A.M., Tarasov A.L., Ushenin Yu.V. Analysis of neurosurgical pathologies using Bayesian recognition procedures for surface plasmon resonance indices during blood cell aggregation. Kibernetika i sistemnyj analiz. 2020. Vol. 56, N 4. P. 35–45. https://doi.org/10.1007/s10559-020-00271-4.

  3. Tarasov AL, Gupal AM, Gridina N.Ya. Modification of the use of Bayesian recognition procedures for inflammatory processes in gliomas, metastases and meningiomas in terms of erythrocyte sedimentation rate. Kibernetyka ta komp’yuterni tekhnolohiyi. 2021. N 2. P. 57–62. https://doi.org/10.34229/2707-451X.21.2.5.

  4. Tarasov AL The use of Bayesian recognition procedures with independent signs of inflammatory processes in gliomas, metastases and meningiomas in terms of erythrocyte sedimentation rate. Kibernetyka ta komp’yuterni tekhnolohiyi. 2021. N 3. P. 34–42. https://doi.org/10.34229/2707-451X.21.3.3.

  5. Gridina N.Ya., Gupal A.M., Tarasov A.L. Bayesian procedures for recognition of inflammatory processes in brain gliomas. Kibernetika i sistemnyj analiz. 2017. Vol. 53, N 3. P. 41–48. https://doi.org/10.1007/s10559-017-9936-4.




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