Open AccessAnalysis of the implementation of a multi-scenario decision support system in the treatment of lung cancer
Author(s) -
Yevhen Artamonov,
Viktoria Borisevich,
Iurii Golovach
Publication year - 2021
Publication title -
technology audit and production reserves
Language(s) - English
Resource type - Journals
eISSN - 2706-5448
pISSN - 2664-9969
DOI - 10.15587/2706-5448.2021.238846
Subject(s) - computer science , decision support system , interface (matter) , adaptation (eye) , software , service (business) , intelligent decision support system , benchmark (surveying) , automation , software engineering , risk analysis (engineering) , artificial intelligence , engineering , medicine , operating system , geography , mechanical engineering , physics , economy , geodesy , bubble , maximum bubble pressure method , optics , economics
The object of the research is the decision support system in the treatment of lung cancer, the subject of the research – the use of a multi-scenario interface in the construction of decision support systems. One of the problem areas in software development is the need for multi-criteria adaptation of interfaces to users. This problem became especially acute after the introduction of quarantine when various automation systems began to develop rapidly, aimed at reducing direct contact between the customer and the service provider. If earlier software users were the more or less related group, now the difference began not only at the level of technical qualifications. Now, when developing software, more attention should be paid to physiological and psychological differences between users, features of hardware and software, environment, and other criteria. In the current situation, it turned out that in most cases automated systems are used by persons who are not interested in these systems but simply have to use them. One of the options for solving this problem is to create an adaptive universal interface. This research is aimed at analyzing methods for implementing multi-scenario decision support systems in the treatment of lung cancer. In the research, attention is paid to the following aspects: adaptive intelligent interface, architecture and structure of the adaptive intelligent interface, algorithms for the functioning of agents of adaptive system interfaces. In the research, the system was used by 500 participants for 30 days. The benchmark was the type of data display scenario selected at the start and end of the day. The research showed a gradual transition of users to scenarios of higher complexity, which involve the analysis of all available information. The tendency of reverse transitions decreases with time, and from the 18th day of using the system, the type of the selected interface changes in rare moments. These results proved the possibility of using automatically configurable interfaces, and bringing them to the final form will be achieved in 18–20 days of using the system.