Analysis of the implementation of a multi-scenario decision support system in the treatment of lung cancer

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.

Proposta de Interface para Um Sistema Inteligente para Gerenciamento de Energia Fotovoltaica no Contexto Brasileiro

Considering the imbalance between economic development andthe environment, there is a concern with the preservation of theplanet’s natural resources and the use of renewable and sustainableenergies. In this context, new systems have emerged to assist in themanagement of photovoltaic energy. This paper presents a proposalfor an intelligent interface for a Web system to monitor, report andconsult on the production of energy and health of photovoltaic panels.To raise the requirements and propose the system’s graphicalinterface, the following techniques were used: (a) benchmarking, inwhich the functionalities of the largest competitors in the marketwere compared; and (b) document analysis, where comments oncompeting systems on their social networks were analyzed. Theprototype presented allows to observe the production of energy indifferent periods, besides allowing to check the health of a panel,as well as its individual performance.

Ontology Application to Construct Inductive Modeling Tools with Intelligent Interface

This paper is devoted to the analysis of sources in the field of development and building intelligent user interfaces. Particular attention is paid to presenting an ontology-based approach to constructing the architecture of the interface, the tasks arising during the development, and ways for solving them. An example of the construction of the intelligent user interface is given for software tools of inductive modeling based on the detailed analysis of knowledge structures in this domain.

The Reasonable and Conscious Understanding System of reality Under Uncertainty

The modern autonomous Expert and Statistical Systems of Artificial Intelligence (AI) cannot continuously, independently and consciously think, learn and develop. This is happening because the models, methods and technologies of their processing in these systems cannot synchronously actualized (trained), function, independently, systemically, situationally, continuously, accurately and on their own in the conditions unpredictability, uncertainty of changing situations and lack of data, information and knowledge about the objects during the process of their continuous perception from the fuzzy environmental reality. Consequently, the need arises to create self-learning, self-developing and self-organized computational intelligent systems that continuously perceive and process changing data, information and knowledge in their changing, uncertainty and previously unknown situation in the surrounding reality. To solve the above problems and to create a system of General AI, we offer the new concept of creating a Computational Intelligent System of a Reasonable and Conscious Understanding of reality under uncertainty through of developed by us following models, methods and technologies of: a) perception the reality of environment, b) self-developing memory, c) situational control of data, information, knowledge, objects, models and processes, d) presentation, generalization and explanation of knowledge, e) fuzzy inference, f) decision making, g) reasoning and thinking, h) cognition, and h) Dialog Control in communication with human, robots and systems through of the intelligent interface, which integrating this functionality into a coherent Reasonable and Conscious Understanding System of reality Under Uncertainty.