Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2020, Issue 4, Pages 3–13
DOI: https://doi.org/10.14357/20718594200401 (Mi iipr147) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Data mining

To the reliability of medical diagnosis based on empirical data

M. I. Zabezhailoa, Yu. Yu. Truninb

a Federal Research Center ‘Informatics and Control’ of Russian Academy of Science, Moscow, Russia
b Burdenko Scientific Research Neurosurgery Institute, Moscow, Russia
Full-text PDF (564 kB) Citations (2)
DOI: https://doi.org/10.14357/20718594200401
Abstract: Some abilities to apply intelligent data analysis (IDA) tools to support medical diagnostic decision-making are discussed. There is described an original mathematical technique to identify and to delete artefacts of IDA and Machine Learning (e.g. overfitting, ets.) to be used in medical diagnostics. This IDA-scheme is based on the reasoning tools of the so called JSM-method of reasoning automation. Productivity of the proposed IDA-techniques demonstrated by examples of diagnostics of human brain tumor pseudoprogression.
Keywords: artificial intelligence, decision-making, medical diagnostics, intelligent data analysis, reasoning automation, formalized similarity analysis, pseudoprogression of human brain tumor.
English version:
Scientific and Technical Information Processing, 2021, Volume 48, Issue 5, Pages 415–422
DOI: https://doi.org/10.3103/S0147688221050142
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: M. I. Zabezhailo, Yu. Yu. Trunin, “To the reliability of medical diagnosis based on empirical data”, Artificial Intelligence and Decision Making, 2020, no. 4, 3–13; Scientific and Technical Information Processing, 48:5 (2021), 415–422
Citation in format AMSBIB
\Bibitem{ZabTru20}
\by M.~I.~Zabezhailo, Yu.~Yu.~Trunin
\paper To the reliability of medical diagnosis based on empirical data
\jour Artificial Intelligence and Decision Making
\yr 2020
\issue 4
\pages 3--13
\mathnet{http://mi.mathnet.ru/iipr147}
\crossref{https://doi.org/10.14357/20718594200401}
\elib{https://elibrary.ru/item.asp?id=44408556}
\transl
\jour Scientific and Technical Information Processing
\yr 2021
\vol 48
\issue 5
\pages 415--422
\crossref{https://doi.org/10.3103/S0147688221050142}
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  • https://www.mathnet.ru/eng/iipr/y2020/i4/p3
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Full-text PDF :4
    References:1
     
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