Abstract
Recently, the importance of information support of medical technologies has increased. Widely used modern information technology, development and application of information technology is one of the urgent tasks. Most personal computers are used only for processing text documents, storing and processing databases, statistics, financial reporting. The article is devoted to the problems of choosing the optimal strategies for the treatment of viral diseases, which is quite an acute and urgent issue today. The aim of this study is to create an information system based on the architecture of a clinical diagnostic decision support system (DSS) that uses a knowledge base to assist the physician in his personal decision-making process. The developed software product will consist of several modules with characteristic functions: categorization of parameters and indicators according to the initial data of patients and division of the sample of the corresponding categories of parameters, selection of analysis and display of results. This system processes data and displays the results in the form of graphs showing the dynamics of changes in temperature of patients with prognosis. The system will provide information to the user, not the exact "answer", which was the purpose of their development. The user must analyze this information and discard erroneous or unnecessary information. He must be active and interact with the system, not just a passive recipient of information. User interaction with the system plays an important role in choosing how to use DSS. Modeling of health indicators is based on the mathematical apparatus of Markov chains. This technique allows you to calculate the sets of unconditional probabilities from the initial data and to make a probabilistic forecast of the health status of an individual or groups of the population for future periods of life.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
