Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2015, Issue 4, Pages 12–50 (Mi iipr336)  
This article is cited in 12 scientific papers (total in 12 papers)

Intelligent systems and technologies

Intelligent system for chronic pancreatitis patient’s diabetes development prediction

O. P. Shesternikovaa, E. S. Pankratovab, M. A. Agafonovc, L. V. Vinokurovac, V. K. Finnb

a NVA-Center LLC
b All-Russian Institute for Scientific and Technical Information of Russian Academy of Sciences, Moscow
c GBUZ Moscow Clinical Scientific Center named after Loginov MHD, Moscow
Full-text PDF (725 kB) Citations (12)
Abstract: The article presents the results of the application of JSM-method for automatic scientific researches support (JSM-method ASRS), which was realized in a computer intelligent system (IS), predicting chronic pancreatitis patients’ diabetes development. It was the first time, when JSM-method ASRS was applied to the sequence of embedded bases of facts, which was used for discovery empirical regularities (ERs) – preserving cause of exploring effect (chronic pancreatitis patients’ diabetes development). For recognition ERs in IS-JSM there was used algebraic lattice of JSM reasoning strategies (rules of inductive inference). The findings have informative clinical interpretation and they are an evidence of usefulness of intelligent data analyze by IS-JSM, which can be used as a tool for evidence based medicine.
Keywords: JSM-method, empirical regularities, computer intelligent system, evidence based medicine, pancreatitis, diabetes.
English version:
Scientific and Technical Information Processing, 2016, Volume 43, Issue 5-6, Pages 315–345
DOI: https://doi.org/10.3103/S0147688216050051
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: O. P. Shesternikova, E. S. Pankratova, M. A. Agafonov, L. V. Vinokurova, V. K. Finn, “Intelligent system for chronic pancreatitis patient’s diabetes development prediction”, Artificial Intelligence and Decision Making, 2015, no. 4, 12–50; Scientific and Technical Information Processing, 43:5-6 (2016), 315–345
Citation in format AMSBIB
\Bibitem{ShePanAga15}
\by O.~P.~Shesternikova, E.~S.~Pankratova, M.~A.~Agafonov, L.~V.~Vinokurova, V.~K.~Finn
\paper Intelligent system for chronic pancreatitis patient’s diabetes development prediction
\jour Artificial Intelligence and Decision Making
\yr 2015
\issue 4
\pages 12--50
\mathnet{http://mi.mathnet.ru/iipr336}
\elib{https://elibrary.ru/item.asp?id=25461406}
\transl
\jour Scientific and Technical Information Processing
\yr 2016
\vol 43
\issue 5-6
\pages 315--345
\crossref{https://doi.org/10.3103/S0147688216050051}
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  • https://www.mathnet.ru/eng/iipr/y2015/i4/p12
    • This publication is cited in the following 12 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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    Abstract page:39
    Full-text PDF :12
    References:1
     
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