Analysis of neurosurgical pathologies using bayesian recognition procedures for indicators of surface plasmon resonance in the aggregation of blood cells / Gridina, / Gupal, / Tarasov, / Ushenin. (2020)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2020, 56 (4))

Gridina N.Y., Gupal A.M., Tarasov A.L., Ushenin Y.V.
Analysis of neurosurgical pathologies using bayesian recognition procedures for indicators of surface plasmon resonance in the aggregation of blood cells

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. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: Bayesian recognition procedure, brain gliomas, differential diagnosis, metastases, modified erythrocyte sedimentation rate, surface plasmon resonance, traumatic brain injury, Amines, Blood, Pathology, Plasmons, Resonance, Bayesian, Blood cells, Blood samples, Erythrocyte sedimentation rate, Ketamine, Verapamil hydrochloride, Surface plasmon resonance


Cite:
Gridina N.Y., Gupal A.M., Tarasov A.L., Ushenin Y.V. (2020). Analysis of neurosurgical pathologies using bayesian recognition procedures for indicators of surface plasmon resonance in the aggregation of blood cells. Cybernetics and Systems Analysis, 56 (4), 35–45. doi: https://doi.org/10.1007/s10559-020-00271-4 http://jnas.nbuv.gov.ua/article/UJRN-0001129992 [In Russian].


 

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