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Journal of Automation and Information Sciences

Publicado 12 números por año

ISSN Imprimir: 1064-2315

ISSN En Línea: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Computer-Based System of Analysis of Erythrocyte Sedimentation Rate Factors at Brain Gliomas

Volumen 41, Edición 5, 2009, pp. 70-79
DOI: 10.1615/JAutomatInfScien.v41.i5.80
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SINOPSIS

The efficient method of the weighted estimate of the optimal parameters of the Bayesian procedure of recognition of inflammatory processes by the erythrocyte sedimentation rate (ESR) is developed. The graphical method for determining the diagnoses by the ESR factors is realized.

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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