Intelligent System for Predicting the Feasibility of Using Computed Tomography

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE

Scientific and Technical Information Processing Pub Date : 2024-03-05 DOI:10.3103/s0147688223050131

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

引用次数: 0

Abstract

This article describes the principles of creating an intelligent system using a JSM method of automated research support (JSM method ARS) to predict the feasibility of computed tomography application. The procedures of JSM research that are adopted to increase the reliability of the empirical regularities obtained in the system are described. The obtained empirical regularities and their expert ratings are given.

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预测使用计算机断层扫描可行性的智能系统

摘要本文介绍了利用自动研究支持的 JSM 方法（JSM 方法 ARS）创建智能系统的原理，以预测计算机断层扫描应用的可行性。文章介绍了为提高系统中获得的经验规律的可靠性而采用的 JSM 研究程序。给出了所获得的经验规律性及其专家评级。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific and Technical Information Processing INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

1.00

自引率

42.90%

发文量

期刊介绍： Scientific and Technical Information Processing is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.