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Intelligent System for Predicting the Feasibility of Using Computed Tomography

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 regula...

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Published in:	Scientific and technical information processing 2023-12, Vol.50 (5), p.464-474
Main Authors:	Shesternikova, O. P., Finn, V. K., Lesko, K. A., Vinokurova, L. V.
Format:	Article
Language:	English
Subjects:	Computed tomography Computer Science Computer Systems Organization and Communication Networks Feasibility
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description	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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subjects	Computed tomography Computer Science Computer Systems Organization and Communication Networks Feasibility
title	Intelligent System for Predicting the Feasibility of Using Computed Tomography
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