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

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

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 (cau...

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Veröffentlicht in:Automatic documentation and mathematical linguistics 2023-04, Vol.57 (2), p.91-100
Hauptverfasser: Shesternikova, O. P., Finn, V. K., Lesko, K. A., Vinokurova, L. V.
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Computer Science
Diabetes mellitus
Information Storage and Retrieval
Intelligent Systems
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container_title Automatic documentation and mathematical linguistics
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creator Shesternikova, O. P.
Finn, V. K.
Lesko, K. A.
Vinokurova, L. V.
description 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.
doi_str_mv 10.3103/S0005105523020085
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subjects Computer Science
Diabetes mellitus
Information Storage and Retrieval
Intelligent Systems
title Application of the JSM Method of Automated Research Support to Predict Diabetes Development in Patients with Chronic Pancreatitis
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