UDC 519.217.2
1 State Institution Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine, Kyiv
 gridinanina@ukr.net
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2 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
gupalanatol@gmail.com
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3 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
freearcher@ukr.net
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4 V.E. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
ushyury68@gmail.com
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ANALYSIS OF NEUROSURGICAL PATHOLOGIES USING BAYESIAN RECOGNITION
PROCEDURES FOR INDICATORS OF SURFACE PLASMON RESONANCE
IN THE AGGREGATION OF BLOOD CELLS
Abstract. The use of the 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. It has been possible to achieve a sufficiently high recognition efficiency between tumor pathologies and a healthy state of people.
Keywords: Bayesian recognition procedure, brain gliomas, metastases, traumatic brain injury, surface plasmon resonance, differential diagnosis, modified erythrocyte sedimentation rate.
FULL TEXT
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