O. P. Shesternikova, V. K. Finn, K. A. Lesko, L. V. Vinokurova, “Intelligent system for predicting the feasibility of using computed tomography”, Artificial Intelligence and Decision Making, 2022, Issue 2,Pages <nobr>3

Intelligent systems and robots

Intelligent system for predicting the feasibility of using computed tomography

O. P. Shesternikova^a, V. K. Finn^b, K. A. Lesko^c, L. V. Vinokurova^c

^a Central Scientific Research Institute of Organization and Informatization of Public Health, Moscow, Russia
^b Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
^c GBUZ Moscow Clinical Scientific Center named after Loginov MHD, Moscow, Russia

Abstract: The article describes principles of creating an intelligent system using JSM-method of automated research support (JSM-method ARS) to predict the necessity for computed tomography application. The procedures of JSM-research (one of the JSM-method ARS stages) designed to increase the reliability of the regularities obtained in the system are described. The obtained regularities and their expert ratings are given.

Keywords: data mining, intelligent data analysis, JSM-method, automated research support, computed tomography, pancreatic cancer, chronic pancreatitis, differential diagnosis.

DOI: 10.14357/20718594220201