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Artificial Intelligence and Decision Making, 2018, Issue 2, Pages 62–72
DOI: https://doi.org/10.14357/20718594180205
(Mi iipr207)
 

This article is cited in 4 scientific papers (total in 4 papers)

Methods of reasoning and knowledge representation

Certainty factors triunity in the medical diagnostics tasks

B. A. Kobrinskii

Medicine of the Federal Research Center "Informatics and Contro" of the Russian Academy of Sciences, Moscow, Russia
Full-text PDF (401 kB) Citations (4)
Abstract: The paper suggests approaches to investigating and solving the problem of three factors characterizing the measure of the experts' confidence in the occurrence of symptoms in diseases, the timing of the manifestation of symptoms and the frequency of symptoms in progressive hereditary diseases in five age groups that differ in clinical manifestations (polyvariant character space). Linguistic scales of fuzzy characteristics (interval age and occurrence of signs) and certainty factors should contribute to a more accurate and accurate evaluation of diagnostically significant traits and to increase the effectiveness of diagnosis at different ages. The measure of confidence is determined with respect to each characteristic used for a given nosological form. In the process of assessing risk factors, specific features of experts' thinking are considered – intuition, confidence in their knowledge and reflexivity (regarding emerging hypotheses). Extraction of knowledge is expected from two or more experts. Various stages and variants of group expertise with the participation of a cognitive scientist are considered. Certainty factors are an important condition for increasing the reliability of expert decisions in the diagnosis of orphan hereditary diseases, which does not allow to draw on the extraction of knowledge from the databases of case histories or on a set of literary sources.
Keywords: knowledge engineering, three certainty factors for a feature, fuzzy knowledge, linguistic scales, expert reflexivity, group knowledge extraction, orphan diseases, lysosomal storage diseases.
English version:
Scientific and Technical Information Processing, 2019, Volume 46, Issue 5, Pages 321–327
DOI: https://doi.org/10.3103/S0147688219050046
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: B. A. Kobrinskii, “Certainty factors triunity in the medical diagnostics tasks”, Artificial Intelligence and Decision Making, 2018, no. 2, 62–72; Scientific and Technical Information Processing, 46:5 (2019), 321–327
Citation in format AMSBIB
\Bibitem{Kob18}
\by B.~A.~Kobrinskii
\paper Certainty factors triunity in the medical diagnostics tasks
\jour Artificial Intelligence and Decision Making
\yr 2018
\issue 2
\pages 62--72
\mathnet{http://mi.mathnet.ru/iipr207}
\crossref{https://doi.org/10.14357/20718594180205}
\elib{https://elibrary.ru/item.asp?id=35125458}
\transl
\jour Scientific and Technical Information Processing
\yr 2019
\vol 46
\issue 5
\pages 321--327
\crossref{https://doi.org/10.3103/S0147688219050046}
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  • https://www.mathnet.ru/eng/iipr/y2018/i2/p62
  • This publication is cited in the following 4 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 :5
    References:1
     
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