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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… Click to show full abstract
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.
Keywords:
brain gliomas;
inflammatory processes;
bayesian recognition
Journal Title: Cybernetics and Systems Analysis
Year Published: 2017
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Journal Title: Cybernetics and Systems Analysis
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!