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 p...

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Bibliographic Details
Published inCybernetics and systems analysis Vol. 56; no. 4; pp. 550 - 558
Main Authors Gridina, N. Ya, Gupal, A. M., Tarasov, A. L., Ushenin, Yu. V.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.07.2020
Springer
Springer Nature B.V
Subjects
Artificial Intelligence
Bayesian analysis
Blood
Brain
Brain tumors
Care and treatment
Control
Diagnosis
Erythrocytes
Glioma
Gliomas
Gold
Injuries
Mathematics
Mathematics and Statistics
Medical examination
Processor Architectures
Recognition
Software Engineering/Programming and Operating Systems
Surface plasmon resonance
Systems Theory
metastases
differential diagnosis
modified erythrocyte sedimentation rate
surface plasmon resonance
Bayesian recognition procedure
traumatic brain injury
brain gliomas
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Summary: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.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-020-00271-4