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Automatic Documentation and Mathematical Linguistics

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01-04-2023 | INTELLIGENT SYSTEMS

Application of the JSM Method of Automated Research Support to Predict Diabetes Development in Patients with Chronic Pancreatitis

Authors: O. P. Shesternikova, V. K. Finn, K. A. Lesko, L. V. Vinokurova

Published in: Automatic Documentation and Mathematical Linguistics | Issue 2/2023

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Abstract

The article describes the application of algorithmic tools for finding empirical regularities using the JSM method of automated research support to an array of patients for studying type 3c (pancreatogenic) diabetes mellitus. A generalized method, representing the ternary predicate of causality (cause–set of brakes for the cause–effect), is used to find empirical regularities for the first time.

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Minimal hypotheses are hypotheses such that no other hypothesis obtained consists of a subset of the features of this hypothesis; a formal description of minimal hypotheses is presented, for example, in [14].

Here, “–” denotes the operation of Boolean difference.

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Title: Application of the JSM Method of Automated Research Support to Predict Diabetes Development in Patients with Chronic Pancreatitis
Authors: O. P. Shesternikova
V. K. Finn
K. A. Lesko
L. V. Vinokurova
Publication date: 01-04-2023
Publisher: Pleiades Publishing
Published in: Automatic Documentation and Mathematical Linguistics / Issue 2/2023
Print ISSN: 0005-1055
Electronic ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105523020085

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Application of the JSM Method of Automated Research Support to Predict Diabetes Development in Patients with Chronic Pancreatitis

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