自动研究支持的JSM方法在预测慢性胰腺炎患者糖尿病发展中的应用

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2023-06-13 DOI:10.3103/S0005105523020085

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

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引用次数: 2

摘要

本文描述了使用自动化研究支持的JSM方法，在一系列研究3c型（胰源性）糖尿病的患者中应用算法工具来寻找经验规律。首次使用一种表示因果关系三元谓词（因果关系的原因-刹车集）的广义方法来寻找经验规律。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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 (cause–set of brakes for the cause–effect), is used to find empirical regularities for the first time.

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

期刊介绍： Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.