Abstract. Application of Bayesian procedures of recognition of erythrocyte sedimentation rate in brain gliomas has allowed detecting inflammatory processes in a human body. The analysis of results of the recognition methods based on tree network methods, Markov chains, and the closest neighbors has shown that Bayesian procedure was the most efficient.

Keywords: Bayesian recognition procedures, brain gliomas, Markov chain, nearest neighbor algorithm.