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Journal of Automation and Information Sciences

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Comparative Analysis of Recognition Methods of Inflammatory Processes at the Gliomas of Brain

Volume 42, Edição 5, 2010, pp. 45-52
DOI: 10.1615/JAutomatInfScien.v42.i5.50
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RESUMO

The use of Bayesian recognition procedure is described for the Markov chains and the method of k-nearest neighbors for the indices of ESR (erythrocyte sedimentation rate) at brain gliomas. The obtained results showed that the indicated methods are inferior to Bayesian recognition procedures with independent attributes.

Referências
  1. Gupal A.M., Sergienko I.V., Optimal recognition procedures.

  2. Gridina N.Ya., Gupal A.M., Tarasov A.L., Expert system of analyzing brain gliomas progressions.

  3. Sergienko I.V., Gridina N.Ya., Gupal A.M., Tarasov A.L., The use of Bayesian recognition procedure by erythrocyte sedimentation rate when brain gliomas.

  4. Palagin A.V., Gridina N.Ya., Gupal A.M., Tarasov A.L., Computer-based system of analysis of erythrocyte sedimentation rate factors at brain gliomas.

  5. Sergienko I.V., Gridina N.Ya., Gupal A.M., Tarasov A.L., Bayesian procedure of brain gliomas recognition.

  6. Vorontsov K.V., Lectures on metrical algorithms of classification.

  7. Anderson T.W., Goodman L.A., Statistical inference about Markov chains.

CITADO POR
  1. Gridina N. Ja., Gupal A. M., Tarasov A. L., Bayesian Recognition of Inflammatory Processes in Brain Gliomas, Cybernetics and Systems Analysis, 53, 3, 2017. Crossref

  2. Tarasov A.L., Gupal A.M., Gridina N.Ya., Modification of the Use of Bayesian Recognition Procedures for Inflammatory Processes in Gliomas, Metastasis and Meningiomas by Indicators of Erythrocyte Sedimentation Rate, Cybernetics and Computer Technologies, 2, 2021. Crossref

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