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.
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science
Diabetes mellitus
Information Storage and Retrieval
Intelligent Systems
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Zusammenfassung: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.
ISSN:0005-1055
1934-8371
DOI:10.3103/S0005105523020085