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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v47.i4.60
pages 54-63

Hierarchical Information-Extreme Learning Algorithm for a Diagnostic System with Redundant Training Matrix

Anatoliy S. Dovbysh
Sumy State University, Ukraine
Anna A. Stadnyk
Sumy State University, Sumy
Stanislav A. Holubnychyi
Medical Institute of Sumy State University, Sumy

RESUMO

The problem of information synthesis of decision support system for pathological process diagnosing is considered within the frames of information-extreme intellectual technology based on maximization of information capacity of the system in the process of its learning. The influence of the training matrix forming method on functional efficiency of machine learning is investigated. Implementation of the algorithm was performed with the example of diagnosis of the spontaneous pneumothorax forms differed by etiology and disease course.


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