Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2016, Issue 3, Pages 62–71 (Mi iipr294)  
Data mining

On an application of intelligent JSM-system, predicting chronic pancreatitis patients’ diabetes development

O. P. Shesternikova

Progtek LLC, Moscow
Full-text PDF (525 kB)
Abstract: The article presents two experiments, which used intelligent JSM-system (IS-JSM), predicting chronic pancreatitis patients’ diabetes development. Both experiments had identical algorithm, but the second one used subset of initial data (we deleted “noise” from them). We analyzed differences in results and stated new challenges for improving the results.
Keywords: JSM-method, intelligent systems, empirical regularities, diabetes, chronic pancreatitis.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: O. P. Shesternikova, “On an application of intelligent JSM-system, predicting chronic pancreatitis patients’ diabetes development”, Artificial Intelligence and Decision Making, 2016, no. 3, 62–71
Citation in format AMSBIB
\Bibitem{She16}
\by O.~P.~Shesternikova
\paper On an application of intelligent JSM-system, predicting chronic pancreatitis patients’ diabetes development
\jour Artificial Intelligence and Decision Making
\yr 2016
\issue 3
\pages 62--71
\mathnet{http://mi.mathnet.ru/iipr294}
\elib{https://elibrary.ru/item.asp?id=27180836}
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  • https://www.mathnet.ru/eng/iipr/y2016/i3/p62
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