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Journal of Automation and Information Sciences

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Bayesian Procedure of Brain Gliomas Recognition

Том 41, Выпуск 9, 2009, pp. 74-79
DOI: 10.1615/JAutomatInfScien.v41.i9.60
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Краткое описание

On the basis of combinations of some optimal parameters of substances-additions we succeeded in increasing the efficiency of the Bayesian recognition procedure. Using erythrocyte sedimentation rate (ESR), we succeeded in distinguishing gliomas of different degrees of malignancy and metastases in brain.

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

  2. Gridina N.Ya., Gupal A.M., Tarasov A.L., The expert system of the analysis of progression of brain gliomas.

  3. Gridina N.Ya, Tarasov A.L., Differential diagnosis of inflammatory and oncologic diseases.

  4. 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.

  5. Gridina N.Ya., Gupal A.M., Sergienko I.V., Tarasov A.L., Analysis of speed indexes of erythrocyte sedimentation for cerebral gliomas.

ЦИТИРОВАНО В
  1. 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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