Bayesian Recognition of Inflammatory Processes in Brain Gliomas
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Application of Bayesian recognition procedures to 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 nearest neighbor algorithm has shown that Bayesian procedure was the most efficient.
KeywordsBayesian recognition procedures brain gliomas Markov chain nearest neighbor algorithm
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