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The use of a production approach in the development of decision support systems for medical purposes

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Information Technology in Business and Industry, ITBI 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1661/1/012039

Аннотация: This article discusses the application of the production approach to the implementation of decision support systems, the input for which is a number of signs, and the output is a number of response actions. The general solution using the Cartesian product of sets is described. In addition, block diagrams and diagrams are given for Показать полностьюvisualization of theoretical material, and an example of an existing medical system implemented on the basis of the described solution is also considered. The relevance of traditional approaches to the development of a decision support system is proved along with the growing popularity of artificial neural networks. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1661, Is. 1

Номера страниц: 12039

ISSN журнала: 17426588

Издатель: IOP Publishing Ltd

Персоны

  • Gruzenkin D.V. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Novikov O.S. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Sukhanova A.V. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Kukartsev V.V. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Tynchenko V.S. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Mikhalev A.S. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)

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