Open AccessThe use of a production approach in the development of decision support systems for medical purposes
Author(s) -
Denis V. Gruzenkin,
O. S. Novikov,
A V Sukhanova,
В. В. Кукарцев,
В. С. Тынченко,
А. С. Михалев
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1661/1/012039
Subject(s) - computer science , decision support system , relevance (law) , block diagram , production (economics) , cartesian product , popularity , visualization , development (topology) , product (mathematics) , management science , artificial intelligence , mathematics , engineering , psychology , social psychology , mathematical analysis , geometry , electrical engineering , discrete mathematics , political science , law , economics , macroeconomics
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 visualization 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.