Analysis of Blood Plasma Protein Structures in Gliomas Using Bayesian Recognition Procedures on Markov Chain Models

摘要

Abstract The authors consider the application of Bayesian recognition procedures on Markov chain models to inflammatory processes in gliomas. Parameters of protein structures of blood plasma in gliomas, metastases, and brain concussion obtained with the help of a laser spectrograph are analyzed. A comparative analysis of 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 is carried out.