Cybernetics and Systems Analysis / Issue (2022, 58 (3))
Gupal A.M.,
Tarasov A.L.
Bayesian recognition procedures in the analysis of blood plasma protein structures according to laser spectrograph measurements in brain tumors 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 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, by the measurements of surface plasmon resonance and modified erythrocyte sedimentation rate in gliomas. © 2022, Springer Science+Business Media, LLC, part of Springer Nature. Keywords: Bayesian recognition procedure, brain glioma, laser spectrograph, metastases, protein structures of blood plasma, Blood, Pathology, Proteins, Spectrographs, Surface plasmon resonance, Bayesian, Bayesian recognition procedure, Blood plasma, Brain gliomata, Brain tumors, Laser spectrograph, Metastasis, Plasma protein, Protein structure of blood plasma, Proteins structures, Tumors
Cite: Gupal A.M.,
Tarasov A.L.
(2022). Bayesian recognition procedures in the analysis of blood plasma protein structures according to laser spectrograph measurements in brain tumors. Cybernetics and Systems Analysis, 58 (3), 42–46. doi: https://doi.org/10.1007/s10559-022-00467-w http://jnas.nbuv.gov.ua/article/UJRN-0001323855 [In Ukrainian]. |